Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
car	4	0.2	0.63	0		0.21	5
bus	0.37	0.02	0.07	0.43		0.02	0.92
truck	0.2	0.01	0.45	3		0	3
other	0	0	0	0		0	0
NOV			1	6	1	2	11
Total	4	0.23	2	10	1	2	20

Bicycling mean WHW

Strike Mode	Casualty Mode
car	3	0	0.59	0		0.2	4
bus	0.35	0	0.07	0.42		0.02	0.86
truck	0.2	0	0.43	3		0	3
other	0	0	0	0		0	0
NOV			1	6	1	2	11
Total	4	0	2	9	1	2	19

Car mean WHW

Strike Mode	Casualty Mode
car	4	0.19	0.63	0		0.22	5
bus	0.33	0.02	0.06	0.42		0.02	0.85
truck	0.2	0.01	0.43	3		0	4
other	0	0	0	0		0	0
NOV			1	7	1	2	11
Total	4	0.22	2	10	1	2	20

Public Transport mean WHW

Strike Mode	Casualty Mode
car	3	0.16	0.56	0		0.19	4
bus	0.43	0.02	0.07	0.44		0.03	0.99
truck	0.21	0.01	0.44	3		0	3
other	0	0	0	0		0	0
NOV			1	6	2	2	10
Total	4	0.19	2	9	2	2	19

Motorcycling mean WHW

Strike Mode	Casualty Mode
car	3	0.18	2	0		0.2	5
bus	0.34	0.02	0.19	0.4		0.02	0.97
truck	0.2	0.01	1	3		0	4
other	0	0	0	0		0	0
NOV			5	6	1	2	15
Total	4	0.21	9	9	1	2	25

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
car	6	1	2	0		2	11
bus	1	0.2	0.27	1		0.23	3
truck	0.67	0.11	1	5		0	7
other	0	0	0	0		0	0
NOV			4	17	5	6	31
Total	8	2	7	23	5	8	52

Bicycling ub WHW

Strike Mode	Casualty Mode
car	6	0.02	2	0		2	9
bus	1	0	0.25	1		0.22	3
truck	0.65	0	1	5		0	7
other	0	0	0	0		0	0
NOV			4	16	4	6	30
Total	7	0.03	7	22	4	8	49

Car ub WHW

Strike Mode	Casualty Mode
car	6	1	2	0		2	11
bus	1	0.17	0.24	1		0.21	3
truck	0.65	0.1	1	5		0	7
other	0	0	0	0		0	0
NOV			4	18	4	6	32
Total	8	2	7	24	4	8	53

Public Transport ub WHW

Strike Mode	Casualty Mode
car	5	1	2	0		1	10
bus	1	0.2	0.29	1		0.25	4
truck	0.68	0.1	1	4		0	7
other	0	0	0	0		0	0
NOV			4	14	5	6	30
Total	7	1	7	20	5	8	49

Motorcycling ub WHW

Strike Mode	Casualty Mode
car	5	1	5	0		1	13
bus	1	0.18	0.73	1		0.22	4
truck	0.66	0.11	4	5		0	9
other	0	0	0	0		0	0
NOV			19	15	4	6	45
Total	7	2	28	21	4	8	71

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
car	2	0.03	0.22	0		0.03	2
bus	0.11	0	0.02	0.13		0	0.27
truck	0.06	0	0.14	2		0	2
other	0	0	0	0		0	0
NOV			0.34	3	0.42	0.69	4
Total	2	0.03	0.73	4	0.42	0.72	9

Bicycling lb WHW

Strike Mode	Casualty Mode
car	2	0	0.21	0		0.03	2
bus	0.11	0	0.02	0.13		0	0.26
truck	0.06	0	0.14	2		0	2
other	0	0	0	0		0	0
NOV			0.32	2	0.41	0.69	4
Total	2	0	0.69	4	0.41	0.72	8

Car lb WHW

Strike Mode	Casualty Mode
car	2	0.03	0.23	0		0.03	3
bus	0.1	0	0.02	0.13		0	0.25
truck	0.06	0	0.14	2		0	2
other	0	0	0	0		0	0
NOV			0.32	3	0.38	0.69	4
Total	2	0.03	0.7	5	0.38	0.72	9

Public Transport lb WHW

Strike Mode	Casualty Mode
car	2	0.02	0.2	0		0.03	2
bus	0.13	0	0.02	0.13		0	0.29
truck	0.06	0	0.14	1		0	2
other	0	0	0	0		0	0
NOV			0.33	2	0.49	0.69	4
Total	2	0.02	0.69	4	0.49	0.72	8

Motorcycling lb WHW

Strike Mode	Casualty Mode
car	2	0.02	0.61	0		0.03	3
bus	0.1	0	0.05	0.12		0	0.28
truck	0.06	0	0.41	2		0	2
other	0	0	0	0		0	0
NOV			2	2	0.4	0.69	5
Total	2	0.03	3	4	0.4	0.72	10

Arica

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
car	7	0.51	0.27	0	0.07	0.19	8
bus	1	0.08	0.05	0.17	0	0.04	1
truck	1	0.1	0.6	2	0.16	0	4
other	0	0	0	0	0	0	0
NOV	0.23		1	7	0.23	2	11
Total	10	0.69	2	9	0.46	3	25

Bicycling mean WHW

Strike Mode	Casualty Mode
car	7	0.84	0.25	0	0.07	0.19	8
bus	0.98	0.13	0.05	0.16	0	0.03	1
truck	1	0.17	0.58	2	0.15	0	4
other	0	0	0	0	0	0	0
NOV	0.22		1	7	0.22	2	11
Total	9	1	2	9	0.44	3	24

Car mean WHW

Strike Mode	Casualty Mode
car	7	0.52	0.26	0	0.06	0.2	8
bus	0.85	0.06	0.04	0.16	0	0.03	1
truck	1	0.1	0.57	2	0.14	0	4
other	0	0	0	0	0	0	0
NOV	0.22		1	8	0.19	2	11
Total	10	0.68	2	10	0.39	3	25

Public Transport mean WHW

Strike Mode	Casualty Mode
car	6	0.43	0.24	0	0.08	0.18	7
bus	1	0.1	0.06	0.19	0	0.04	2
truck	1	0.1	0.59	2	0.19	0	4
other	0	0	0	0	0	0	0
NOV	0.24		1	6	0.31	2	10
Total	9	0.62	2	8	0.58	3	23

Motorcycling mean WHW

Strike Mode	Casualty Mode
car	6	0.46	0.69	0	0.06	0.18	8
bus	0.92	0.07	0.12	0.15	0	0.03	1
truck	1	0.1	2	2	0.15	0	5
other	0	0	0	0	0	0	0
NOV	0.22		5	7	0.2	2	15
Total	9	0.62	8	9	0.41	3	29

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
car	10	2	0.82	0	0.56	1	14
bus	2	0.31	0.18	0.54	0	0.3	4
truck	3	0.38	2	4	1	0	10
other	0	0	0	0	0	0	0
NOV	2		3	10	2	4	21
Total	17	2	5	15	3	6	49

Bicycling ub WHW

Strike Mode	Casualty Mode
car	9	3	0.77	0	0.53	1	15
bus	2	0.51	0.17	0.51	0	0.29	4
truck	3	0.64	2	4	1	0	10
other	0	0	0	0	0	0	0
NOV	2		3	10	2	4	20
Total	16	4	5	14	3	6	49

Car ub WHW

Strike Mode	Casualty Mode
car	10	2	0.81	0	0.51	1	15
bus	2	0.25	0.15	0.49	0	0.26	3
truck	3	0.36	2	4	1	0	10
other	0	0	0	0	0	0	0
NOV	2		3	11	1	4	21
Total	17	2	5	15	3	6	48

Public Transport ub WHW

Strike Mode	Casualty Mode
car	9	1	0.73	0	0.62	1	13
bus	3	0.38	0.22	0.6	0	0.37	5
truck	3	0.36	2	4	1	0	10
other	0	0	0	0	0	0	0
NOV	2		3	9	2	4	20
Total	17	2	5	13	4	6	48

Motorcycling ub WHW

Strike Mode	Casualty Mode
car	9	1	2	0	0.49	1	15
bus	2	0.26	0.46	0.47	0	0.28	4
truck	3	0.36	5	4	1	0	13
other	0	0	0	0	0	0	0
NOV	2		13	9	1	4	30
Total	16	2	20	14	3	6	61

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
car	5	0.16	0.09	0	0.01	0.03	5
bus	0.45	0.02	0.01	0.06	0	0	0.54
truck	0.68	0.03	0.21	1	0.02	0	2
other	0	0	0	0	0	0	0
NOV	0.03		0.47	5	0.03	1	7
Total	6	0.2	0.78	6	0.06	1	14

Bicycling lb WHW

Strike Mode	Casualty Mode
car	5	0.26	0.08	0	0.01	0.03	5
bus	0.43	0.03	0.01	0.05	0	0	0.53
truck	0.66	0.05	0.21	1	0.02	0	2
other	0	0	0	0	0	0	0
NOV	0.03		0.44	5	0.03	1	6
Total	6	0.34	0.74	6	0.06	1	14

Car lb WHW

Strike Mode	Casualty Mode
car	5	0.16	0.09	0	0.01	0.03	5
bus	0.37	0.02	0.01	0.05	0	0	0.45
truck	0.66	0.03	0.2	1	0.02	0	2
other	0	0	0	0	0	0	0
NOV	0.03		0.43	5	0.03	1	7
Total	6	0.2	0.73	6	0.05	1	15

Public Transport lb WHW

Strike Mode	Casualty Mode
car	4	0.13	0.08	0	0.01	0.02	5
bus	0.6	0.02	0.02	0.06	0	0.01	0.71
truck	0.69	0.03	0.21	1	0.03	0	2
other	0	0	0	0	0	0	0
NOV	0.03		0.46	4	0.04	1	6
Total	6	0.18	0.76	5	0.08	1	13

Motorcycling lb WHW

Strike Mode	Casualty Mode
car	5	0.14	0.22	0	0.01	0.02	5
bus	0.4	0.02	0.03	0.05	0	0	0.5
truck	0.67	0.03	0.59	1	0.02	0	2
other	0	0	0	0	0	0	0
NOV	0.03		2	5	0.03	1	8
Total	6	0.19	3	6	0.05	1	16

Belo Horizonte

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.06	1	0.39	0.02	0.02		0.02	3
cycle	0.66	0	0.8	0.26	0.01	0.02		0.02	2
motorcycle	40	2	0	9	0.42	0.58		0.55	52
car	63	3	37	0	0.55	0.76		0.71	104
bus	60	3	37	12	0	0.77		0.72	114
rail	2	0.11	2	0.65	0.03	0.04		0.04	5
other	0.39	0.02	0.34	0.11	0.01	0.01		0.01	0.88
NOV		8	53	71	4	5	0.15	50	191
Total	167	15	131	94	5	7	0.15	52	472

Bicycling mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.12	1	0.37	0.02	0.02		0.02	3
cycle	2	0	2	0.63	0.03	0.04		0.04	5
motorcycle	38	3	0	9	0.41	0.58		0.53	52
car	60	5	36	0	0.53	0.74		0.68	103
bus	58	5	37	12	0	0.76		0.7	113
rail	2	0.21	2	0.63	0.03	0.04		0.04	5
other	0.38	0.03	0.33	0.11	0	0.01		0.01	0.87
NOV		30	52	69	4	5	0.14	49	209
Total	162	44	130	92	5	7	0.14	51	491

Car mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.05	1	0.4	0.02	0.02		0.02	3
cycle	0.57	0	0.69	0.26	0.01	0.02		0.01	2
motorcycle	36	2	0	10	0.37	0.55		0.48	48
car	68	3	37	0	0.55	0.82		0.72	110
bus	53	2	33	13	0	0.73		0.63	103
rail	2	0.09	2	0.66	0.03	0.04		0.03	5
other	0.35	0.01	0.3	0.11	0	0.01		0.01	0.8
NOV		7	49	80	4	5	0.13	45	189
Total	161	14	123	103	5	7	0.13	47	460

Public Transport mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.06	1	0.37	0.02	0.02		0.02	3
cycle	0.63	0	0.71	0.23	0.01	0.02		0.01	2
motorcycle	37	2	0	8	0.44	0.55		0.47	48
car	58	2	32	0	0.57	0.7		0.61	94
bus	71	3	39	13	0	0.87		0.74	127
rail	3	0.1	2	0.6	0.03	0.04		0.04	5
other	0.36	0.01	0.29	0.1	0.01	0.01		0.01	0.78
NOV		7	48	63	5	5	0.15	44	172
Total	171	14	123	86	6	7	0.15	46	453

Motorcycling mean WHW

Strike Mode	Casualty Mode
pedestrian	1	0.06	1	0.36	0.02	0.02		0.02	3
cycle	0.62	0	0.95	0.25	0.01	0.02		0.01	2
motorcycle	51	2	0	11	0.49	0.72		0.65	66
car	59	3	43	0	0.5	0.73		0.66	106
bus	56	2	44	11	0	0.74		0.67	115
rail	2	0.1	2	0.6	0.03	0.04		0.04	5
other	0.37	0.02	0.4	0.1	0	0.01		0.01	0.91
NOV		7	72	67	4	5	0.14	47	203
Total	170	15	165	91	5	7	0.14	49	501

[1] “ub”

Baseline ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.11	2	0.64	0.04	0.05		0.05	5
cycle	1	0	1	0.5	0.03	0.04		0.04	3
motorcycle	45	2	0	11	0.96	1		0.98	61
car	69	4	41	0	1	1		1	117
bus	66	4	42	15	0	1		1	128
rail	4	0.17	3	0.97	0.07	0.08		0.08	8
other	0.95	0.04	0.83	0.28	0.02	0.02		0.02	2
NOV		10	59	78	6	7	1	56	219
Total	187	20	149	107	9	11	1	60	544

Bicycling ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.2	2	0.61	0.04	0.05		0.05	5
cycle	4	0	4	1	0.08	0.09		0.09	9
motorcycle	43	5	0	11	0.93	1		0.96	62
car	66	7	40	0	1	1		1	116
bus	63	7	41	14	0	1		1	128
rail	3	0.33	3	0.94	0.07	0.08		0.07	8
other	0.91	0.08	0.81	0.27	0.02	0.02		0.02	2
NOV		41	59	76	6	7	1	55	245
Total	182	60	148	105	8	11	1	58	574

Car ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.1	2	0.67	0.04	0.05		0.04	5
cycle	1	0	1	0.5	0.03	0.04		0.03	3
motorcycle	40	2	0	12	0.85	0.97		0.87	57
car	74	4	42	0	1	1		1	124
bus	59	3	37	15	0	1		1	116
rail	3	0.15	3	0.99	0.06	0.07		0.07	7
other	0.84	0.04	0.73	0.28	0.01	0.02		0.02	2
NOV		9	55	88	6	7	1	50	217
Total	180	19	140	117	8	11	1	54	530

Public Transport ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.11	2	0.61	0.05	0.05		0.05	5
cycle	1	0	1	0.44	0.04	0.04		0.03	3
motorcycle	42	2	0	10	1	0.96		0.84	57
car	64	3	35	0	1	1		1	106
bus	78	4	44	15	0	2		1	144
rail	4	0.16	3	0.9	0.08	0.08		0.07	8
other	0.87	0.04	0.71	0.24	0.02	0.02		0.02	2
NOV		10	54	70	7	7	1	49	199
Total	192	19	139	97	10	11	1	53	523

Motorcycling ub WHW

Strike Mode	Casualty Mode
pedestrian	2	0.1	2	0.6	0.04	0.05		0.05	5
cycle	1	0	2	0.47	0.03	0.04		0.03	4
motorcycle	58	3	0	13	1	1		1	78
car	64	3	48	0	1	1		1	119
bus	61	3	49	14	0	1		1	130
rail	3	0.16	3	0.89	0.07	0.08		0.07	8
other	0.89	0.04	0.98	0.26	0.02	0.02		0.02	2
NOV		10	81	74	6	7	1	53	232
Total	191	20	187	103	8	11	1	57	578

[1] “lb”

Baseline lb WHW

Strike Mode	Casualty Mode
pedestrian	0.87	0.03	0.73	0.23	0.01	0.01		0.01	2
cycle	0.35	0	0.43	0.14	0	0.01		0.01	0.93
motorcycle	35	1	0	8	0.18	0.33		0.3	45
car	57	2	33	0	0.24	0.43		0.4	93
bus	55	2	33	10	0	0.44		0.4	101
rail	2	0.07	1	0.44	0.01	0.02		0.02	4
other	0.16	0.01	0.14	0.05	0	0		0	0.36
NOV		6	47	64	3	3	0.02	44	168
Total	150	11	116	83	3	5	0.02	45	414

Bicycling lb WHW

Strike Mode	Casualty Mode
pedestrian	0.82	0.07	0.7	0.22	0.01	0.01		0.01	2
cycle	1	0	1	0.33	0.01	0.02		0.02	3
motorcycle	34	2	0	7	0.18	0.33		0.3	45
car	55	4	32	0	0.23	0.42		0.38	91
bus	53	4	33	10	0	0.44		0.39	100
rail	2	0.13	1	0.43	0.01	0.02		0.02	4
other	0.15	0.01	0.14	0.04	0	0		0	0.36
NOV		22	47	63	3	3	0.02	43	181
Total	145	33	114	81	3	5	0.02	44	425

Car lb WHW

Strike Mode	Casualty Mode
pedestrian	0.81	0.03	0.66	0.25	0.01	0.01		0.01	2
cycle	0.31	0	0.37	0.14	0	0.01		0.01	0.83
motorcycle	32	1	0	8	0.16	0.31		0.27	41
car	62	2	33	0	0.24	0.47		0.4	98
bus	49	2	30	10	0	0.41		0.35	91
rail	2	0.06	1	0.45	0.01	0.02		0.02	3
other	0.14	0.01	0.12	0.05	0	0		0	0.33
NOV		5	44	72	2	3	0.02	40	167
Total	145	10	109	92	3	5	0.02	41	404

Public Transport lb WHW

Strike Mode	Casualty Mode
pedestrian	0.92	0.03	0.7	0.22	0.01	0.01		0.01	2
cycle	0.34	0	0.38	0.12	0	0.01		0.01	0.85
motorcycle	33	1	0	7	0.19	0.31		0.26	41
car	53	2	28	0	0.25	0.4		0.34	84
bus	65	2	35	11	0	0.49		0.42	114
rail	2	0.06	1	0.41	0.01	0.02		0.02	4
other	0.15	0.01	0.12	0.04	0	0		0	0.32
NOV		5	43	57	3	3	0.02	39	151
Total	154	10	109	76	4	5	0.02	40	397

Motorcycling lb WHW

Strike Mode	Casualty Mode
pedestrian	0.83	0.03	0.87	0.22	0.01	0.01		0.01	2
cycle	0.33	0	0.5	0.13	0	0.01		0.01	0.98
motorcycle	45	2	0	9	0.22	0.41		0.36	57
car	53	2	39	0	0.22	0.42		0.37	95
bus	51	2	39	9	0	0.42		0.37	102
rail	2	0.06	2	0.4	0.01	0.02		0.02	4
other	0.15	0.01	0.17	0.04	0	0		0	0.37
NOV		6	65	61	3	3	0.02	42	179
Total	152	11	146	80	3	5	0.02	43	440

Bogota

[1] NA

Baseline mean WHW

Strike Mode	Casualty Mode
cycle	1	0	2	0.11	0.03	0.01	4
motorcycle	36	12	0	2	0.48	0.14	51
car	52	18	56	0	0.6	0.17	126
bus	40	14	42	2	0	0.13	98
truck	32	11	42	2	0.45	0	88
NOV	4	8	53	15	6	1	87
Total	167	63	195	21	7	2	455

Bicycling mean WHW

Strike Mode	Casualty Mode
cycle	2	0	3	0.15	0.03	0.01	6
motorcycle	35	14	0	2	0.47	0.14	51
car	50	20	54	0	0.58	0.17	125
bus	39	15	41	2	0	0.13	97
truck	32	12	42	2	0.45	0	88
NOV	4	12	52	14	6	1	89
Total	161	73	193	20	7	2	456

Car mean WHW

Strike Mode	Casualty Mode
cycle	1	0	2	0.11	0.02	0.01	4
motorcycle	33	11	0	2	0.45	0.13	47
car	55	19	57	0	0.61	0.18	132
bus	37	12	39	2	0	0.12	91
truck	31	11	41	2	0.43	0	85
NOV	4	8	51	17	5	1	86
Total	163	61	190	23	7	2	445

Public Transport mean WHW

Strike Mode	Casualty Mode
cycle	1	0	2	0.09	0.03	0.01	4
motorcycle	32	10	0	2	0.49	0.13	45
car	48	15	46	0	0.61	0.16	109
bus	46	15	42	2	0	0.14	105
truck	33	10	38	2	0.5	0	84
NOV	4	8	46	13	7	1	78
Total	165	58	174	18	8	2	425

Motorcycling mean WHW

Strike Mode	Casualty Mode
cycle	1	0	3	0.1	0.02	0.01	4
motorcycle	45	15	0	2	0.56	0.16	63
car	48	16	60	0	0.55	0.16	125
bus	38	13	45	2	0	0.12	97
truck	32	11	47	2	0.44	0	91
NOV	4	8	66	14	5	1	98
Total	167	63	220	20	7	2	478

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline_predicted scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Car scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Baseline scenario

Casualty mode: Pedestrian

Casualty mode: Car

Casualty mode: Motorcycle

Casualty mode: Truck

Casualty mode: Cycle

Casualty mode: Bus

Casualty mode: Other

Casualty mode: Rail

Casualty mode: Auto_rickshaw

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.9845	1.3744898	2.9983	1.333963	3.0752	1.2398147	2.8821	1.5781475	3.0575	1.2910280
car	17.4095	9.6214286	17.5572	9.388470	16.1581	10.2214195	18.3526	8.5801892	17.8521	9.0711287
cycle	95.3573	0.2290816	0.0809	0.003735	99.7424	0.2208829	87.7297	0.1905355	90.3700	0.2109284
motorcycle	157.4219	2.2908163	160.8643	2.164581	162.3855	2.1968500	157.8575	2.1821991	78.6910	8.5163475
pedestrian	91.7471	4.1234694	92.9823	3.909975	98.6613	4.2164530	81.5278	3.9029482	88.6004	3.8480993
truck	11.0045	2.2908163	10.9845	2.286656	11.0431	2.2988720	10.9350	2.2763516	10.9587	2.2812950
active_travel	91.9303	4.3525510	44.3763	3.913710	98.7145	4.4373359	81.7970	4.0934838	88.6906	4.0590277

[1] “ub”

antofagasta ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	9.8764	4.548449	9.9299	4.417903	10.1796	4.104054	9.5362	5.221698	10.1131	4.270219
car	41.1989	22.768649	41.5080	22.195805	38.3090	24.233849	43.4463	20.312040	42.1695	21.427465
cycle	739.2653	1.775974	0.6277	0.028965	770.0821	1.705372	685.1480	1.488037	701.0409	1.636267
motorcycle	503.1160	7.321384	514.3410	6.920944	517.3327	6.998792	505.8975	6.993452	262.0433	28.359676
pedestrian	171.2981	7.698800	173.7682	7.307078	181.9891	7.777607	155.5065	7.444499	165.7271	7.197874
truck	38.1831	7.948643	38.0301	7.916794	38.4522	8.004657	37.6930	7.846623	37.8320	7.875554
active_travel	200.1168	9.474774	83.1809	7.336043	210.9617	9.482979	178.4921	8.932535	193.0279	8.834141

[1] “lb”

antofagasta lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9222	0.4247152	0.9257	0.4118475	0.9498	0.3829101	0.8898	0.4872185	0.9453	0.3991509
car	7.7347	4.2745781	7.8080	4.1751983	7.1686	4.5347867	8.1617	3.8157648	7.9478	4.0384641
cycle	12.4098	0.0298126	0.0105	0.0004859	13.0243	0.0288428	11.3479	0.0246459	11.7547	0.0274360
motorcycle	49.9310	0.7265997	51.0073	0.6863514	51.6658	0.6989663	49.9273	0.6901878	24.1272	2.6111725
pedestrian	52.0783	2.3405993	52.7490	2.2181357	56.4157	2.4110188	45.6657	2.1861343	50.2357	2.1818412
truck	3.4764	0.7236826	3.4737	0.7231354	3.4818	0.7248199	3.4667	0.7216601	3.4704	0.7224328
active_travel	50.0655	2.3704119	25.1562	2.2186216	54.2780	2.4398615	44.1763	2.2107801	48.2732	2.2092772

[1] NA

arica mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.6000	0.4581633	3.6507	0.4404033	3.9488	0.3900987	3.1304	0.5819860	3.7643	0.4099939
car	34.5337	9.3923469	35.0950	9.0412055	30.2795	9.9031473	36.1467	8.2655611	35.3483	8.7064837
cycle	64.9284	0.6872449	28.0235	1.1432083	69.5869	0.6806503	65.2728	0.6238351	64.0989	0.6225535
motorcycle	198.6391	2.0617347	202.0849	1.9633688	205.4706	1.9343575	199.2214	2.0082777	109.9070	7.7913484
pedestrian	265.4237	9.6214286	264.8936	9.1181045	278.7568	9.6030322	244.8599	9.3136471	252.5892	8.9336873
truck	22.8131	2.5198980	22.7576	2.5137694	22.8436	2.5232705	22.7256	2.5102411	22.6968	2.5070598
active_travel	220.1110	10.3086735	136.4239	10.2613128	232.5005	10.2836824	208.7970	9.9374822	211.9801	9.5562408

[1] “ub”

arica ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	27.0187	3.438577	27.3958	3.304918	29.6625	2.930331	23.4579	4.361133	28.2481	3.076705
car	54.0975	14.713225	54.9994	14.168983	47.2642	15.458132	57.0412	13.043449	55.3942	13.643890
cycle	219.2302	2.320477	94.6716	3.862092	233.7286	2.286169	222.8751	2.130097	216.5086	2.102817
motorcycle	529.1927	5.492648	538.3803	5.230667	547.8371	5.157492	531.1143	5.353967	285.6891	20.252606
pedestrian	463.8845	16.815497	463.9568	15.970212	480.4268	16.550461	440.4155	16.751925	443.8076	15.696782
truck	54.7712	6.049946	54.3499	6.003411	54.9558	6.070340	54.1965	5.986462	53.8818	5.951701
active_travel	408.5917	19.135974	263.6700	19.832304	425.8714	18.836631	396.7312	18.882021	394.8374	17.799599

[1] “lb”

arica lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4799	0.0610808	0.4867	0.0587192	0.5260	0.0519620	0.4180	0.0777046	0.5019	0.0546646
car	22.5541	6.1341717	22.9097	5.9020108	19.8196	6.4821545	23.4958	5.3727095	23.0694	5.6821191
cycle	19.3577	0.2048943	8.3506	0.3406591	20.8428	0.2038695	19.2660	0.1841319	19.1023	0.1855293
motorcycle	75.3378	0.7819532	76.6376	0.7445777	77.8487	0.7328898	75.5413	0.7615035	42.6424	3.0229375
pedestrian	167.1294	6.0583274	166.5602	5.7332964	177.2914	6.1075995	150.8653	5.7384077	158.6938	5.6127534
truck	11.2924	1.2473398	11.2851	1.2465308	11.2972	1.2478679	11.2794	1.2459086	11.2772	1.2456572
active_travel	133.7324	6.2632216	80.7531	6.0739555	142.6940	6.3114690	124.4388	5.9225396	128.6197	5.7982827

[1] NA

belo_horizonte mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.3689	5.1450544	1.3775	5.0621873	1.4158	4.7303817	1.2805	5.9611977	1.4160	4.9275109
car	17.2422	94.0809950	17.4188	91.9001857	16.2940	103.4783061	18.0669	85.6481043	17.8819	90.6272053
cycle	172.9881	14.9941586	93.5313	44.1936286	183.3639	13.6144429	180.0909	14.1329233	180.2928	14.6923038
motorcycle	73.0562	131.2723884	73.5499	129.7533768	76.2256	123.1917509	77.6321	122.6432259	62.1297	164.5613637
other	92.4962	51.7445473	93.0671	50.5435732	94.9885	46.7623267	95.5764	45.7802911	93.9352	49.1388963
pedestrian	233.0073	167.2877693	237.6608	161.9347157	240.2861	161.2734803	227.1966	171.3699067	246.5305	170.0871583
rail	0.1649	0.1470016	0.1654	0.1449699	0.1685	0.1346731	0.1649	0.1470016	0.1674	0.1381436
truck	3.6078	7.2030762	3.6051	7.1975939	3.5971	7.1816784	3.6073	7.2020378	3.6426	7.2726352
active_travel	226.5418	182.2819279	178.6408	206.1283444	234.6163	174.8879232	222.7575	185.5028300	239.5332	184.7794621

[1] “ub”

belo_horizonte ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.2750	8.550326	2.2930	8.426598	2.3613	7.889554	2.1086	9.816414	2.3690	8.243606
car	19.5817	106.846028	19.8355	104.650205	18.4660	117.272052	20.5418	97.381014	20.3366	103.067746
cycle	235.9442	20.451036	126.9795	59.997966	250.1233	18.571212	245.6617	19.278701	246.0209	20.048573
motorcycle	82.9687	149.083823	84.0008	148.190325	86.5004	139.797409	88.1305	139.228692	70.5101	186.758400
other	106.5360	59.598771	107.2287	58.234565	109.4670	53.890033	110.1885	52.779407	108.3152	56.661284
pedestrian	260.8695	187.291506	267.7114	182.410239	268.6526	180.312289	254.1124	191.671984	276.2217	190.571837
rail	1.4307	1.275719	1.4357	1.258087	1.4624	1.168729	1.4307	1.275719	1.4531	1.198847
truck	5.5823	11.145191	5.5838	11.148198	5.5624	11.105549	5.5808	11.142154	5.6434	11.267238
active_travel	258.1845	207.742542	210.0827	242.408205	266.8070	198.883502	253.3161	210.950685	273.0313	210.620410

[1] “lb”

belo_horizonte lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.8476	3.185770	0.8521	3.1315228	0.8741	2.9205928	0.7985	3.717311	0.8722	3.0349733
car	15.2438	83.176765	15.3752	81.1184051	14.4320	91.6536833	15.9545	75.634052	15.7869	80.0097039
cycle	126.9613	11.004672	68.9429	32.5755998	134.5566	9.9905914	132.1551	10.371084	132.2565	10.7777597
motorcycle	64.6701	116.203748	64.8826	114.4628321	67.5100	109.1060721	68.7363	108.589694	55.0213	145.7336664
other	81.0096	45.318685	81.4977	44.2604188	83.1620	40.9402088	83.6552	40.070178	82.2096	43.0050384
pedestrian	209.1422	150.153804	212.5284	144.8103030	215.8984	144.9050759	204.0904	153.941356	221.0312	152.4945879
rail	0.0190	0.016939	0.0191	0.0167049	0.0194	0.0155184	0.0190	0.016939	0.0193	0.0159183
truck	2.3529	4.697555	2.3497	4.6913163	2.3470	4.6858978	2.3527	4.697258	2.3727	4.7371282
active_travel	200.2894	161.158476	153.7312	177.3859027	207.7962	154.8956673	197.3114	164.312439	211.6531	163.2723476

[1] NA

bogota mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5206	7.347687	0.5234	7.212289	0.5330	6.956853	0.4907	8.189957	0.5346	7.055780
car	2.0056	20.707117	2.0202	20.310402	1.8862	22.947492	2.1074	18.359276	2.0779	19.931903
cycle	56.8204	63.011979	35.7489	72.784926	59.6140	60.974468	59.4688	57.601996	61.1130	62.552710
motorcycle	38.0593	195.270338	38.2712	192.865933	39.5519	190.181741	40.6978	173.978538	30.5598	219.933604
pedestrian	65.0211	166.992877	66.6672	161.479798	67.8675	162.653275	62.7886	165.234426	68.9869	167.439492
truck	0.3856	1.558600	0.3851	1.555071	0.3859	1.559888	0.3818	1.543094	0.3894	1.573941
active_travel	62.5480	230.004856	52.5472	234.264724	65.3987	223.627743	61.8954	222.836422	66.6513	229.992202

[1] “ub”

bogota ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9275	13.091200	0.9330	12.856539	0.9512	12.415052	0.8727	14.565036	0.9554	12.611020
car	3.1259	32.274048	3.1497	31.666089	2.9305	35.652957	3.2837	28.606508	3.2378	31.058234
cycle	72.9217	80.867885	46.5600	94.796285	76.4213	78.165332	76.2643	73.870265	78.3397	80.185162
motorcycle	48.1810	247.201359	48.5284	244.556866	49.9887	240.365937	51.4797	220.069662	39.0229	280.841030
pedestrian	81.0382	208.129551	83.2130	201.556662	84.5186	202.559684	78.2442	205.907275	85.9867	208.699914
truck	1.1924	4.819507	1.1903	4.806912	1.1937	4.824712	1.1764	4.754758	1.2084	4.883698
active_travel	78.5905	288.997436	66.4740	296.352946	82.0965	280.725016	77.7115	279.777540	83.7184	288.885076

[1] “lb”

bogota lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.2979	4.204383	0.2994	4.1253161	0.3045	3.9750430	0.2812	4.6929375	0.3050	4.0259821
car	1.3003	13.425342	1.3094	13.1647020	1.2267	14.9240519	1.3665	11.9045272	1.3471	12.9225226
cycle	44.5921	49.451236	27.7052	56.4079277	46.8298	47.8985085	46.7008	45.2348500	47.9995	49.1302652
motorcycle	30.3407	155.668596	30.4707	153.5556194	31.5750	151.8256906	32.4634	138.7774734	24.1845	174.0512338
pedestrian	52.4347	134.667491	53.7016	130.0748810	54.7665	131.2550178	50.6461	133.2801341	55.6154	134.9851834
truck	0.1304	0.527085	0.1303	0.5260765	0.1305	0.5274028	0.1295	0.5233708	0.1313	0.5307418
active_travel	50.0696	184.118727	41.8294	186.4828088	52.3925	179.1535263	49.5846	178.5149841	53.3563	184.1154486

[1] NA

buenos_aires mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4371	3.385700	0.4405	3.281770	0.4461	3.119455	0.4166	4.101711e+00	0.4444	3.167886
car	10.5489	85.488915	10.6220	83.344902	9.7099	99.887405	984.1572	6.175988e+03	11.1797	83.327183
cycle	27.1916	15.235648	16.4662	24.568185	29.0160	14.920803	462.9798	2.310445e+02	31.5371	16.665434
motorcycle	112.9509	207.374100	113.2507	203.979308	120.2513	200.003328	124971.6972	1.668258e+05	80.0731	333.222226
pedestrian	128.1978	251.388194	129.8926	241.930763	136.4337	250.539189	2471.9926	5.192712e+03	152.8727	284.792901
truck	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275	0.9524	2.539275e+00	0.9524	2.539275
active_travel	105.7508	266.623843	79.4432	266.498948	112.9343	265.459992	2086.3363	5.423756e+03	126.0604	301.458335

[1] “ub”

buenos_aires ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.3317	10.315435	1.3421	9.998786	1.3592	9.504250	1.2693	1.249695e+01	1.3540	9.651809
car	14.4998	117.506828	14.6311	114.802439	13.2779	136.592667	1678.5802	1.053378e+04	15.5176	115.659084
cycle	57.8692	32.424520	36.5880	54.590776	61.3494	31.547441	876.2957	4.373047e+02	66.1245	34.942794
motorcycle	148.3976	272.453022	149.8594	269.916229	157.6480	262.201797	164316.6234	2.193477e+05	105.2558	438.019127
pedestrian	160.7183	315.158823	164.3806	306.166256	170.4573	313.018136	3150.0332	6.617016e+03	192.3439	358.325357
truck	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765	3.4474	9.191765e+00	3.4474	9.191765
active_travel	137.8617	347.583343	107.5415	360.757033	146.5881	344.565577	2713.5596	7.054321e+03	164.4524	393.268152

[1] “lb”

buenos_aires lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1435	1.1112437	0.1446	1.0771323	0.1464	1.0238577	0.1367	1.346251e+00	0.1459	1.0397537
car	7.8079	63.2756382	7.8554	61.6370761	7.2167	74.2392689	577.4651	3.623829e+03	8.2050	61.1550137
cycle	13.3540	7.4823368	7.8126	11.6566448	14.3241	7.3658425	245.4206	1.224742e+02	15.6501	8.2701055
motorcycle	87.0624	159.8435344	87.0091	156.7146400	92.8383	154.4096231	96684.0239	1.290643e+05	61.6335	256.4861396
pedestrian	103.5584	203.0717030	104.5099	194.6544553	110.4976	202.9115899	1941.1546	4.077624e+03	122.7930	228.7560978
truck	0.2631	0.7014883	0.2631	0.7014883	0.2631	0.7014883	0.2631	7.014883e-01	0.2631	0.7014883
active_travel	83.5119	210.5540398	61.5012	206.3111000	89.4581	210.2774324	1615.6363	4.200098e+03	99.1169	237.0262034

[1] NA

cali mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1551	0.2783215	0.1557	0.2742914	0.1576	0.2613339	0.1436	0.3791763	0.1581	0.2576454
car	5.3053	11.1328585	5.3221	10.9090439	4.7384	12.6067681	5.4672	10.2091365	5.4526	10.5248432
cycle	107.2446	28.9454320	70.2408	37.9786780	115.3163	28.0785076	110.1690	26.5248226	112.6178	28.3938865
motorcycle	33.7982	153.3551254	34.1450	150.1169518	35.4222	149.7437519	35.6372	140.8303159	32.1594	160.2050256
other	64.6108	0.2783216	64.1022	0.2567872	65.1516	0.2228988	62.9976	0.2036480	64.7973	0.2546832
pedestrian	199.1740	87.9495819	201.9536	84.7100550	208.8846	86.4824238	189.2016	85.0163179	208.3085	86.1742257
active_travel	164.3000	116.8950139	127.7814	122.6887330	174.2342	114.5609314	161.6287	111.5411406	172.0728	114.5681122

[1] “ub”

cali ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.1462	2.056513	1.1503	2.026735	1.1644	1.930992	1.0609	2.801728	1.1685	1.903738
car	8.3205	17.460225	8.3524	17.120295	7.3926	19.668524	8.5821	16.025846	8.5707	16.543505
cycle	142.0227	38.332108	94.3044	50.989668	152.3406	37.093577	146.2281	35.206582	148.7601	37.506332
motorcycle	40.3159	182.928232	40.8337	179.523537	42.1374	178.131407	42.4993	167.947981	38.2956	190.773152
other	481.8982	2.075855	478.3121	1.916070	485.6103	1.661387	469.7143	1.518414	483.1262	1.898908
pedestrian	237.0793	104.687502	241.2802	101.205724	248.4496	102.863107	225.9445	101.526450	247.5031	102.388439
active_travel	201.0191	143.019610	158.5129	152.195392	212.8582	139.956684	198.1330	136.733032	210.1116	139.894771

[1] “lb”

cali lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0210	0.0376671	0.0211	0.0371217	0.0213	0.0353680	0.0194	0.0513164	0.0214	0.0348689
car	3.4481	7.2357022	3.4576	7.0872985	3.0922	8.2269466	3.5493	6.6277976	3.5363	6.8258109
cycle	83.0920	22.4266311	54.0441	29.2212374	89.4453	21.7791412	85.1514	20.5014728	87.4023	22.0364192
motorcycle	28.7667	130.5250324	29.0092	127.5376527	30.1726	127.5514783	30.2850	119.6795073	27.3976	136.4839289
other	8.6773	0.0373787	8.6050	0.0344708	8.7531	0.0299466	8.4609	0.0273509	8.7041	0.0342112
pedestrian	168.4515	74.3833984	170.4207	71.4834831	176.7067	73.1601363	159.5061	71.6728543	176.4357	72.9889091
active_travel	136.0699	96.8100295	104.8849	100.7047206	144.3919	94.9392775	133.5652	92.1743271	142.7210	95.0253283

[1] NA

copiapo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	7.1415	0.6872449	7.1982	0.6658323	7.4024	0.5953498	6.6401	0.9195570	7.2969	0.6305341
car	21.1804	5.0397959	21.2916	4.8847684	19.0047	5.2300341	22.1044	4.4923459	21.8109	4.7000751
cycle	334.4041	1.1454082	103.8508	2.3938207	348.0143	1.1081343	337.1592	1.1179017	377.5057	1.2496083
motorcycle	369.2802	2.5198980	377.8533	2.3925397	387.0143	2.3237236	371.6999	2.4931990	178.3397	9.1074228
pedestrian	122.7450	2.5198980	123.1164	2.3998809	125.0863	2.4637420	116.7191	2.5724394	138.0361	2.7492122
truck	9.8249	0.9163265	9.7699	0.9111930	9.7973	0.9137501	9.8233	0.9161767	10.2063	0.9518925
active_travel	153.0095	3.6653061	112.6780	4.7937017	156.1101	3.5718762	145.5456	3.6903411	172.1642	3.9988205

[1] “ub”

copiapo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	22.6605	2.180678	22.8405	2.112734	23.4885	1.889088	21.0694	2.917821	23.1537	2.000731
car	39.4446	9.385677	39.6624	9.099445	35.1789	9.681117	41.6736	8.469462	42.5794	9.175517
cycle	1070.4487	3.666524	331.8809	7.650046	1098.1146	3.496576	1098.1642	3.641127	1510.5224	5.000087
motorcycle	985.8123	6.726995	1007.7955	6.381288	1030.8558	6.189497	996.6455	6.685059	477.2141	24.370290
pedestrian	317.0165	6.508202	317.3626	6.186281	317.4657	6.252910	308.0239	6.788716	462.2906	9.207265
truck	44.8581	4.183700	44.3461	4.135953	44.4539	4.146006	44.9777	4.194861	51.4611	4.799535
active_travel	424.7476	10.174726	325.2288	13.836327	426.1047	9.749486	411.3489	10.429844	611.6796	14.207351

[1] “lb”

copiapo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.2507	0.2165866	2.2685	0.2098383	2.3329	0.1876256	2.0926	0.2898001	2.2996	0.1987140
car	13.1866	3.1377064	13.2533	3.0406117	11.8451	3.2597319	13.7259	2.7895630	13.5039	2.9099777
cycle	113.7828	0.3897312	35.3421	0.8146563	119.5764	0.3807508	112.6635	0.3735526	115.7773	0.3832427
motorcycle	140.1478	0.9563418	143.5289	0.9088146	147.1373	0.8834466	140.6524	0.9434344	67.3282	3.4383057
pedestrian	53.3675	1.0956106	53.5327	1.0435015	55.0188	1.0836686	49.6225	1.0936584	53.6769	1.0690621
truck	2.6160	0.2439804	2.6097	0.2433903	2.6144	0.2438346	2.6137	0.2437692	2.6344	0.2456999
active_travel	62.0061	1.4853417	43.6768	1.8581578	64.0030	1.4644194	57.8662	1.4672110	62.5272	1.4523048

[1] NA

coquimbo_laserena mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.1862	1.3744898	3.1997	1.3451147	3.3297	1.2588196	2.9301	1.6201329	3.2306	1.2910482
car	18.7497	13.2867347	18.9303	12.9245394	17.0575	13.8270577	19.9659	12.0321844	19.3806	12.3711994
cycle	117.9160	1.3744898	0.0793	0.0053904	120.9081	1.2372965	110.8534	1.2243763	110.8094	1.2258616
motorcycle	325.2547	5.7270408	325.9859	5.6054900	340.2496	5.4277382	338.2240	5.1537762	145.1099	22.0099966
pedestrian	78.2952	8.0178571	79.0971	7.6137904	82.9851	8.0015409	71.9405	7.6800792	75.4573	7.3806204
truck	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265	3.5181	0.9163265
active_travel	82.3442	9.3923469	46.3818	7.6191808	86.6237	9.2388375	75.5889	8.9044556	79.0494	8.6064820

[1] “ub”

coquimbo_laserena ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.3387	4.459971	10.3794	4.3633351	10.8654	4.107806	9.4006	5.197828	10.4780	4.187279
car	27.7511	19.665442	28.0244	19.1334857	25.1815	20.412418	29.7234	17.912360	28.6971	18.318235
cycle	281.0660	3.276250	0.1890	0.0128552	287.1458	2.938467	266.5600	2.944157	264.4298	2.925333
motorcycle	623.7242	10.982453	625.1587	10.7499173	651.3511	10.390498	649.9167	9.903275	281.6947	42.726917
pedestrian	121.1567	12.407113	122.5089	11.7925580	127.5832	12.301757	113.0619	12.070040	117.0059	11.444563
truck	9.5631	2.490834	9.5631	2.4908337	9.5631	2.490834	9.5631	2.490834	9.5631	2.490834
active_travel	137.4985	15.683363	71.8656	11.8054132	142.8930	15.240224	127.4538	15.014196	131.9857	14.369896

[1] “lb”

coquimbo_laserena lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0285	0.4436996	1.0332	0.4343303	1.0696	0.4043767	0.9550	0.5280656	1.0433	0.4169307
car	12.8891	9.1336697	13.0099	8.8824062	11.7469	9.5221907	13.6688	8.2372957	13.3150	8.4993364
cycle	49.8699	0.5813097	0.0335	0.0022788	51.2934	0.5249044	46.5331	0.5139581	46.8177	0.5179341
motorcycle	170.3571	2.9996249	170.7295	2.9357790	178.4959	2.8474071	176.8446	2.6947160	75.0498	11.3834069
pedestrian	51.7769	5.3022373	52.2701	5.0314542	55.1474	5.3173880	47.0113	5.0187371	49.8195	4.8729367
truck	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977	1.2942	0.3370977
active_travel	51.5820	5.8835470	30.6429	5.0337330	54.7776	5.8422924	46.9664	5.5326953	49.5145	5.3908708

[1] NA

gran_valparaiso mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5410	0.4581633	0.5397	0.4386058	0.5715	0.4236069	0.4891	0.5130738	0.5398	0.4223606
car	13.6691	14.6612245	13.6374	14.0966491	12.3591	15.6334538	14.7506	13.0281049	13.7671	13.5220906
cycle	27.2171	0.4581633	0.0133	0.0015311	27.9690	0.4293427	26.2569	0.3768003	25.6562	0.3981481
motorcycle	218.1498	5.9561224	214.0857	5.7042785	218.9781	4.9215843	215.4692	4.4621407	6.0284	1.3932996
other	62.5242	0.2290816	60.6396	0.2164857	62.6656	0.2060929	60.9799	0.2165977	59.1787	0.1983279
pedestrian	126.5077	18.5556122	126.7044	17.6195310	134.4511	18.5239282	118.1166	18.4041246	121.9243	17.1938581
truck	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796	6.6928	2.7489796
active_travel	116.2855	19.0137755	69.3631	17.6210621	123.7764	18.9532709	110.3698	18.7809250	112.3807	17.5920062

[1] “ub”

gran_valparaiso ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.2082	3.563515	4.1494	3.3719459	4.4265	3.281090	3.7796	3.965047	4.1300	3.231345
car	22.4005	24.026290	21.6232	22.3513488	19.9052	25.178785	23.9639	21.165486	21.5389	21.155528
cycle	114.8676	1.933640	0.0562	0.0064624	117.7775	1.807961	110.9025	1.591507	107.8972	1.674413
motorcycle	427.9098	11.683180	407.4888	10.8574713	426.9667	9.596178	421.0951	8.720436	11.3744	2.628901
other	504.6122	1.848842	480.8387	1.7166116	501.8624	1.650512	488.5036	1.735143	465.8028	1.561063
pedestrian	187.0254	27.432097	186.2784	25.9038946	196.7493	27.107021	175.8094	27.393420	179.1952	25.270246
truck	11.9219	4.896791	11.9219	4.8967908	11.9219	4.896791	11.9219	4.896791	11.9219	4.896791
active_travel	179.5966	29.365738	101.9929	25.9103570	188.8324	28.914982	170.3356	28.984927	172.1270	26.944659

[1] “lb”

gran_valparaiso lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0708	0.0599443	0.0710	0.0576994	0.0749	0.0555364	0.0642	0.0673613	0.0712	0.0556949
car	9.1570	9.8215939	9.2030	9.5128756	8.3389	10.5481079	9.8616	8.7099719	9.3204	9.1545294
cycle	6.4774	0.1090379	0.0032	0.0003644	6.6665	0.1023358	6.2402	0.0895495	6.1128	0.0948618
motorcycle	115.2653	3.1470764	113.9615	3.0364868	116.0380	2.6079821	113.8829	2.3583956	3.2018	0.7400223
other	7.9518	0.0291344	7.7784	0.0277691	8.0052	0.0263274	7.7823	0.0276422	7.6188	0.0255331
pedestrian	91.6332	13.4403795	91.8600	12.7740595	97.9341	13.4928114	84.9311	13.2333844	88.3688	12.4618356
truck	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329	3.7572	1.5432329
active_travel	82.8663	13.5494174	50.2849	12.7744239	88.7846	13.5951472	78.2948	13.3229338	80.2143	12.5566974

[1] NA

iquique_altohospicio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.4790	0.6872449	3.3192	0.6329962	3.7500	0.6292849	2.9813	0.7751428	3.8162	0.6830167
car	16.8880	7.1015306	16.8219	6.8092243	15.3103	7.3732555	17.5933	6.4170183	17.5922	6.6912833
cycle	275.9259	0.6872449	0.2707	0.0097963	277.5118	0.5867811	267.9197	0.6366409	294.3232	0.7124349
motorcycle	228.2547	2.5198980	225.6823	2.3703008	236.3862	2.3205843	232.0936	2.4034420	120.7294	10.4571972
pedestrian	97.0326	3.6653061	97.0053	3.4699659	100.0202	3.6014948	90.5566	3.6749283	105.2920	3.8482684
truck	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082	7.1202	1.1454082
active_travel	108.0985	4.3525510	48.3531	3.4797621	109.8648	4.1882759	100.3676	4.3115692	117.0338	4.5607033

[1] “ub”

iquique_altohospicio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	14.1586	2.796899	12.4294	2.3703509	15.0291	2.522008	12.0823	3.141399	16.8726	3.019863
car	30.2121	12.704425	28.8634	11.6834228	27.0596	13.031563	31.6693	11.551149	33.1563	12.611186
cycle	1051.0123	2.617742	1.0309	0.0373146	1045.5510	2.210752	1032.2677	2.452914	1326.4748	3.210847
motorcycle	612.7095	6.764220	573.8597	6.0271466	630.3427	6.188024	623.3089	6.454667	308.2785	26.702109
pedestrian	227.4105	8.590200	223.7868	8.0050495	229.4728	8.262779	215.9996	8.765599	311.0774	11.369420
truck	17.4155	2.801593	17.4155	2.8015931	17.4155	2.801593	17.4155	2.801593	17.4155	2.801593
active_travel	278.3568	11.207942	111.7528	8.0423641	274.7365	10.473531	261.1520	11.218513	374.1493	14.580267

[1] “lb”

iquique_altohospicio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9387	0.1854275	0.9284	0.1770481	1.0182	0.1708647	0.8069	0.2097934	0.9925	0.1776309
car	10.5141	4.4212409	10.5640	4.2761196	9.5667	4.6072240	10.9120	3.9800732	10.8265	4.1179233
cycle	76.4777	0.1904820	0.0750	0.0027141	77.4989	0.1638664	73.3966	0.1744078	75.5381	0.1828465
motorcycle	90.2585	0.9964402	90.7661	0.9532998	93.5788	0.9186558	91.6978	0.9495758	49.4753	4.2853948
pedestrian	47.2091	1.7832742	47.3728	1.6945656	49.2640	1.7738814	43.2546	1.7553385	46.8535	1.7124249
truck	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906	2.9110	0.4682906
active_travel	49.0196	1.9737562	23.5846	1.6972797	50.8300	1.9377479	44.9219	1.9297463	48.6352	1.8952714

[1] NA

medellin mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	318.8052	0.1855476	313.0731	0.1822115	327.0707	0.1537509	316.0788	0.1344329	320.2547	0.1792224
bus	1.7749	2.7832146	1.7853	2.7033595	1.8158	2.6428981	1.6404	3.5134829	1.8127	2.6201729
car	3.2225	4.4531434	3.2383	4.3416586	2.7476	5.6550083	3.3675	3.9577588	3.2908	4.2176592
cycle	157.9430	10.0195726	3.2532	1.0357685	163.4672	9.1674182	156.2782	8.1317271	159.6744	9.3915693
motorcycle	35.9520	125.8013007	35.7317	123.1633615	37.7891	123.0500148	37.6695	116.9111908	33.8169	136.9000480
pedestrian	130.6661	75.1467947	132.9098	71.8034933	141.6586	76.9851469	125.4416	75.5176762	136.9342	74.4272959
truck	1.3896	0.7421906	1.3896	0.7421906	1.3896	0.7421906	1.3896	0.7421906	1.3896	0.7421906
active_travel	133.3760	85.1663673	84.8327	72.8392618	143.6986	86.1525651	127.8948	83.6494032	139.1547	83.8188652

[1] “ub”

medellin ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	2371.6498	1.380323	2324.5453	1.352907	2432.3207	1.143396	2350.6406	0.9997619	2382.1485	1.333109
bus	3.6615	5.741698	3.6757	5.565852	3.7752	5.494822	3.3270	7.1259024	3.7576	5.431337
car	5.6814	7.851002	5.6963	7.637168	4.7951	9.868817	5.9680	7.0141447	5.8226	7.462440
cycle	234.5027	14.876366	5.2783	1.680507	242.3074	13.588866	232.2395	12.0842748	236.9288	13.935439
motorcycle	41.5635	145.436475	40.9953	141.306105	43.6783	142.226426	43.5372	135.1218993	39.0369	158.032145
pedestrian	153.1333	88.067809	155.6170	84.070867	165.8949	90.156527	147.2000	88.6165922	160.3901	87.176231
truck	Inf	Inf	Inf	Inf	Inf	Inf	Inf	Inf	Inf	Inf
active_travel	161.2171	102.944176	99.8709	85.751374	173.0426	103.745394	153.9655	100.7008671	167.8639	101.111670

[1] “lb”

medellin lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
auto_rickshaw	42.8688	0.0249500	42.1653	0.0245406	43.9931	0.0206805	42.5130	0.0180814	43.0678	0.0241018
bus	0.9403	1.4745637	0.9466	1.4333513	0.9579	1.3942577	0.8770	1.8782950	0.9579	1.3845602
car	1.9121	2.6422375	1.9234	2.5787996	1.6416	3.3785936	1.9907	2.3396171	1.9477	2.4962482
cycle	106.7956	6.7748926	2.0054	0.6384904	110.7056	6.2084909	105.5735	5.4933755	108.0311	6.3540660
motorcycle	31.2455	109.3324032	31.1676	107.4311328	32.8314	106.9064632	32.7255	101.5668276	29.4243	119.1177119
pedestrian	111.5844	64.1728170	113.5511	61.3450883	121.0479	65.7841688	106.9765	64.4014289	116.9960	63.5903675
truck	0.5112	0.2730367	0.5112	0.2730367	0.5112	0.2730367	0.5112	0.2730367	0.5112	0.2730367
active_travel	111.1086	70.9477097	72.1896	61.9835787	120.0805	71.9926597	106.8649	69.8948044	116.1206	69.9444335

[1] NA

mexico_city mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0460	11.024186	1.0506	10.737683	1.0616	10.268095	0.9951	12.656547	1.0063	9.962248
car	22.2538	288.203709	22.1804	280.530502	20.6056	311.692454	22.7330	247.142843	18.6625	228.040887
cycle	144.3242	32.285115	1.2373	1.499543	145.1151	29.416389	141.1000	28.212218	121.6158	25.419615
motorcycle	100.0264	102.367438	96.3051	96.441212	100.2782	93.814160	99.7305	84.875480	1.0965	3.653907
other	1309.0937	48.821393	1270.4812	45.551409	1241.9467	43.643576	1172.8274	37.689910	504.2410	18.127962
pedestrian	257.9485	502.387887	259.6742	479.472710	268.7381	491.341023	244.2758	499.557652	214.5094	398.919402
truck	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302	2.1323	9.449302
active_travel	246.2425	534.673002	157.2648	480.972253	256.3997	520.757411	235.0867	527.769871	205.1236	424.339017

[1] “ub”

mexico_city ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.5595	26.97475	2.5557	26.120050	2.5792	24.94653	2.3442	29.81662	2.0753	20.546078
car	26.5186	343.43584	26.3340	333.063896	24.4892	370.43783	27.0583	294.16633	21.8656	267.179326
cycle	239.8284	53.64926	2.9140	3.531527	240.8782	48.82860	234.9554	46.97810	205.0802	42.864972
motorcycle	139.6168	142.88453	131.9341	132.120641	139.6778	130.67405	138.9573	118.25936	1.6163	5.386208
other	1984.8719	74.02389	1915.1102	68.663721	1891.8757	66.48290	1797.5722	57.76667	886.8923	31.884654
pedestrian	303.9842	592.04833	305.0832	563.317654	316.0468	577.83683	287.7623	588.49001	251.2391	467.225051
truck	4.1148	18.23497	4.1148	18.234965	4.1148	18.23497	4.1148	18.23497	4.1148	18.234965
active_travel	297.3746	645.69758	185.3442	566.849180	308.5445	626.66544	283.0592	635.46811	246.5753	510.090023

[1] “lb”

mexico_city lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.5241	5.523555	0.5272	5.3876574	0.5329	5.154420	0.5035	6.404054	0.5253	5.200303
car	18.7830	243.254138	18.7595	237.2647026	17.4328	263.699115	19.2096	208.838178	16.0126	195.660689
cycle	89.6322	20.050588	0.5266	0.6382394	90.2063	18.285791	87.5085	17.496864	74.7815	15.630507
motorcycle	72.5103	74.207402	70.6589	70.7587710	72.7921	68.099864	72.3803	61.599133	0.7444	2.480437
other	903.3219	33.688525	880.5515	31.5709992	854.4771	30.027404	803.8346	25.831982	313.0669	11.255066
pedestrian	220.7269	429.894012	222.5617	410.9466979	230.3366	421.130552	209.1492	427.721747	184.9239	343.899763
truck	1.1049	4.896599	1.1049	4.8965987	1.1049	4.896599	1.1049	4.896599	1.1049	4.896599
active_travel	207.2210	449.944601	134.5771	411.5849373	216.3507	439.416343	198.3156	445.218611	173.7954	359.530270

[1] NA

montevideo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.2278	0.3384842	0.2296	0.3283884	0.2339	0.3048697	0.2190	0.3966338	0.2318	0.3160198
car	9.1263	13.8778514	9.1651	13.5002057	8.4749	15.4004798	9.7622	12.0686398	9.6416	13.1984663
cycle	91.2523	4.4002943	44.4012	9.2212700	98.6410	4.3379114	91.7393	4.0019520	95.2424	4.2333725
motorcycle	92.0670	45.3568801	92.5408	43.8051178	97.3633	44.3354204	99.0827	38.3013013	73.3441	59.5658082
pedestrian	51.5608	17.9396615	52.3772	17.1068704	56.4312	17.9110196	46.7347	17.4557778	52.9984	17.5958413
truck	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525	1.9285	1.0154525
active_travel	56.3922	22.3399558	49.2769	26.3281404	61.5678	22.2489310	51.4412	21.4577297	57.9862	21.8292138

[1] “ub”

montevideo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6834	2.501054	1.6962	2.426457	1.7280	2.252677	1.6180	2.930721	1.7125	2.335065
car	15.3157	23.289734	15.3375	22.592092	14.1128	25.645592	16.4212	20.300986	16.2562	22.253166
cycle	209.4350	10.099205	108.1236	22.455188	224.1061	9.855465	211.0882	9.208317	219.2945	9.747284
motorcycle	130.4307	64.256796	130.6867	61.861874	136.8244	62.304463	141.0635	54.529373	103.6786	84.201813
pedestrian	77.8660	27.092074	79.0310	25.812230	84.5324	26.830240	70.7357	26.420326	81.2013	26.959407
truck	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105	6.1191	3.222105
active_travel	93.8811	37.191279	90.3394	48.267419	101.5177	36.685705	85.4136	35.628644	97.5061	36.706691

[1] “lb”

montevideo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.0308	0.0458093	0.0311	0.0444430	0.0316	0.0412600	0.0296	0.0536791	0.0314	0.0427690
car	5.5875	8.4966370	5.6185	8.2759679	5.2158	9.4781409	5.9651	7.3744688	5.8708	8.0365529
cycle	41.5219	2.0022338	19.2125	3.9900661	45.2847	1.9914763	41.6508	1.8169352	43.1387	1.9174459
motorcycle	66.7414	32.8802243	67.1576	31.7897230	70.9148	32.2918289	71.5620	27.6629385	53.1426	43.1593521
pedestrian	34.8077	12.1107110	35.3743	11.5535702	38.3501	12.1721642	31.4811	11.7584454	35.3318	11.7304044
truck	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218	0.6078	0.3200218
active_travel	35.6250	14.1129448	29.0922	15.5436362	39.1940	14.1636405	32.5446	13.5753805	36.2536	13.6478502

[1] NA

osorno mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	37.0743	7.5596939	37.4399	7.3451153	32.9598	7.9231178	38.7397	6.8519279	37.9600	7.0763502
cycle	33.2999	0.2290816	14.3383	0.3857289	36.2164	0.2208691	34.9265	0.2119903	32.3646	0.2122075
motorcycle	177.2760	1.1454082	180.5674	1.0889269	182.6137	1.0948511	179.0448	1.1058629	87.3101	4.2100462
pedestrian	137.2506	4.8107143	138.0934	4.5788490	143.3040	4.7434557	129.7130	4.7930000	132.5531	4.4600029
truck	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714	19.3547	1.6035714
active_travel	120.1957	5.0397959	82.6609	4.9645779	126.6434	4.9643248	116.3398	5.0049903	116.2135	4.6722103

[1] “ub”

osorno ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	63.5860	12.965590	64.2142	12.597801	56.2531	13.522507	67.0377	11.857022	65.0946	12.134657
cycle	259.8465	1.787573	111.9227	3.010940	282.0027	1.719818	273.6365	1.660870	252.7284	1.657082
motorcycle	683.4147	4.415649	695.9673	4.197090	703.3436	4.216860	690.5371	4.265074	341.9757	16.489875
pedestrian	258.2578	9.052086	260.1012	8.624335	267.8004	8.864370	247.2315	9.135404	249.9360	8.409572
truck	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948	41.2176	3.414948
active_travel	258.5184	10.839660	193.7289	11.635275	270.0100	10.584187	250.9569	10.796274	250.3914	10.066655

[1] “lb”

osorno lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	22.4299	4.5736086	22.6480	4.4431773	20.0106	4.8102942	23.2854	4.1185146	22.9617	4.2804165
cycle	4.2814	0.0294531	1.8430	0.0495790	4.6661	0.0284566	4.4728	0.0271482	4.1586	0.0272673
motorcycle	46.1244	0.2980171	46.9897	0.2833752	47.5574	0.2851278	46.5623	0.2875899	22.3605	1.0782106
pedestrian	74.8597	2.6238754	75.2688	2.4957326	78.6651	2.6038672	69.8924	2.5825814	72.2018	2.4293688
truck	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958	9.0885	0.7529958
active_travel	63.2801	2.6533285	42.3798	2.5453116	67.1524	2.6323238	60.6626	2.6097297	61.1048	2.4566360

[1] NA

puerto_montt mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.4475	0.4581633	1.4569	0.4499202	1.5094	0.4242277	1.3526	0.5039983	1.4757	0.4318047
car	14.9606	6.8724490	15.0929	6.7053815	13.6712	7.1519677	15.5308	6.3121665	15.1809	6.5388367
cycle	188.4476	0.4581633	0.1867	0.0067173	190.8054	0.3887888	182.4177	0.4350555	181.1053	0.4403124
motorcycle	222.9540	0.9163265	222.2477	0.8486576	222.8631	0.8268129	219.6935	0.8384348	5.3708	0.3858772
pedestrian	255.0415	13.5158163	259.5077	12.8945638	268.5720	13.2371879	237.6697	13.5213281	250.7862	12.7580730
truck	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714	8.9691	1.6035714
active_travel	252.1204	13.9739796	150.5898	12.9012811	265.4846	13.6259767	235.4467	13.9563835	247.6079	13.1983855

[1] “ub”

puerto_montt ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.9727	3.473138	11.0441	3.410708	11.4471	3.217284	10.2411	3.815923	11.1853	3.273049
car	26.2384	12.053133	26.4868	11.767368	23.9173	12.512164	27.2874	11.090431	26.6245	11.467907
cycle	818.3490	1.989611	0.8110	0.029184	827.0542	1.685222	794.2098	1.894143	786.8177	1.912951
motorcycle	993.8886	4.084818	991.3749	3.785586	993.2862	3.685050	982.4149	3.749273	37.7179	2.709908
pedestrian	428.2415	22.694478	436.1996	21.674133	447.5770	22.059861	403.4812	22.954554	422.2485	21.480761
truck	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948	19.1005	3.414948
active_travel	445.3536	24.684090	253.3313	21.703317	462.6424	23.745082	419.2019	24.848698	438.8770	23.393712

[1] “lb”

puerto_montt lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.1911	0.0604959	0.1924	0.0594065	0.1992	0.0559909	0.1788	0.0666275	0.1949	0.0570199
car	8.7908	4.0382032	8.8636	3.9378765	8.0489	4.2107053	9.1124	3.7035356	8.9190	3.8416602
cycle	43.5323	0.1058380	0.0431	0.0015510	44.1566	0.0899744	42.0310	0.1002414	41.8184	0.1016710
motorcycle	55.6845	0.2288599	55.4859	0.2118740	55.6801	0.2065708	54.7588	0.2089808	0.8037	0.0577439
pedestrian	163.4949	8.6643429	166.1637	8.2564336	173.1790	8.5355262	151.0241	8.5919497	160.5230	8.1661778
truck	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958	4.2117	0.7529958
active_travel	158.2327	8.7701809	96.3911	8.2579847	168.0568	8.6255005	146.6388	8.6921911	155.1087	8.2678488

[1] NA

san_antonio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	31.5377	3.2535405	31.9598	3.1555999	24.9277	3.0594163	33.8365	2.9171650	31.0480	2.7849657
cycle	361.0303	0.2667670	0.6559	0.0068777	339.6242	0.2267990	387.3949	0.2574478	328.5085	0.2416746
motorcycle	61.3723	0.2290816	60.6445	0.2116589	60.6933	0.1708588	65.7604	0.2122068	6.5730	0.1768073
other	223.3033	0.2707129	220.1393	0.2654180	142.3631	0.0782262	203.4258	0.2135804	220.7221	0.2244250
pedestrian	301.2695	2.6004012	303.5862	2.5017124	283.0422	2.3312609	309.1080	2.8847700	280.0630	2.3519855
truck	34.5761	1.3744898	34.5761	1.3744898	34.5761	1.3744898	34.5761	1.3744898	34.5761	1.3744898
active_travel	305.9819	2.8671682	133.9561	2.5085902	287.2857	2.5580599	314.3122	3.1422178	283.9650	2.5936601

[1] “ub”

san_antonio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	188.7246	19.469493	190.5867	18.8178701	145.8385	17.898980	201.5396	17.375429	176.6565	15.845872
cycle	5238.8761	3.871030	9.4588	0.0991886	4773.1936	3.187510	5532.9252	3.676970	4663.1574	3.430556
motorcycle	732.1952	2.733032	725.7800	2.5330885	710.9295	2.001350	781.3118	2.521268	84.5353	2.273906
other	2780.5154	3.370848	2736.2186	3.2990099	2144.0811	1.178137	2445.8588	2.567951	2480.3487	2.521960
pedestrian	2029.3300	17.516119	2042.1671	16.8285474	1882.3922	15.504216	2053.4629	19.164070	1847.9666	15.519331
truck	173.6261	6.902097	173.6261	6.9020968	173.6261	6.902097	173.6261	6.902097	173.6261	6.902097
active_travel	2282.4198	21.387150	903.9237	16.9277361	2099.1946	18.691726	2284.7612	22.841040	2074.7150	18.949887

[1] “lb”

san_antonio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	5.9103	0.6097318	6.0033	0.5927493	4.7483	0.5827613	6.3570	0.5480566	5.9692	0.5354282
cycle	26.7246	0.0197469	0.0481	0.0005045	25.8657	0.0172729	29.1440	0.0193680	24.6563	0.0181389
motorcycle	5.3071	0.0198097	5.2271	0.0182433	5.3477	0.0150544	5.7057	0.0184122	0.5332	0.0143437
other	20.2564	0.0245571	19.9942	0.0241066	10.4428	0.0057381	19.2157	0.0201749	21.3999	0.0217590
pedestrian	52.0544	0.4493065	52.4909	0.4325527	49.5406	0.4080379	53.9532	0.5035220	49.0118	0.4116040
truck	7.2509	0.2882419	7.2509	0.2882419	7.2509	0.2882419	7.2509	0.2882419	7.2509	0.2882419
active_travel	50.0570	0.4690535	23.1248	0.4330572	47.7650	0.4253109	52.3040	0.5228899	47.0501	0.4297429

[1] NA

santiago mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.7217	5.233301	9.0121	26.87000	8.9756	25.17888	7.4195	26.35376	1.7513	5.023457
car	23.0340	71.218394	130.5916	389.66243	112.5830	419.74282	123.6737	321.83471	23.4555	68.378471
cycle	168.9855	28.214316	232.9302	102.28013	436.4429	64.11872	402.8242	59.13830	173.5260	27.148283
motorcycle	110.3350	43.004078	52731.8435	20233.16910	53703.9275	19801.39344	52792.9346	17471.37909	75.9406	79.337158
other	219.9363	2.502883	3084.3588	33.54924	2976.2837	31.20073	2690.0236	27.98049	219.5374	2.334254
pedestrian	227.4042	121.276050	594.3644	300.94288	598.3468	297.25801	510.5898	291.13874	230.9269	117.406177
truck	6.4803	7.508648	82.6977	95.82051	79.8220	92.48849	72.2051	83.66292	6.4697	7.496352
active_travel	213.4756	149.490366	426.4973	403.22302	561.3960	361.37673	488.5246	350.27704	217.4197	144.554460

[1] “ub”

santiago ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.3467	10.17254	24.2969	72.4421	24.1610	67.77757	19.7799	70.25763	3.4115	9.785481
car	27.9875	86.53380	220.4579	657.8075	189.2113	705.43607	207.3857	539.67760	28.5515	83.234533
cycle	228.5961	38.16708	369.1104	162.0771	684.7467	100.59755	630.3468	92.54070	236.4629	36.994806
motorcycle	144.8467	56.45535	69347.9698	26608.7644	70213.0762	25888.54878	69055.1744	22853.23101	99.6651	104.122851
other	447.0645	5.08761	7174.6842	78.0406	6917.9008	72.52115	6247.0942	64.97963	446.8361	4.751030
pedestrian	274.3806	146.32886	891.5194	451.4006	887.5768	440.94717	754.8225	430.40049	281.5957	143.166820
truck	11.5206	13.34874	178.2695	206.5581	171.8989	199.17662	155.2767	179.91668	11.5168	13.344285
active_travel	263.4643	184.49594	648.8880	613.4777	841.2855	541.54472	729.3359	522.94119	270.9753	180.161626

[1] “lb”

santiago lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9148	2.780648	3.4526	10.29392	3.4449	9.663804	2.8863	10.25224	0.9290	2.664695
car	19.1697	59.270370	79.3077	236.64027	68.7581	256.350752	75.7416	197.10142	19.4926	56.825764
cycle	127.2963	21.253775	150.5263	66.09640	285.1143	41.886731	263.9470	38.74985	129.9159	20.325445
motorcycle	85.0427	33.146158	40965.0685	15718.26630	41757.8969	15396.723953	41047.7617	13584.41257	58.4595	61.074222
other	109.2081	1.242792	1328.9507	14.45529	1283.3129	13.453117	1161.1183	12.07746	108.8567	1.157430
pedestrian	192.8276	102.836168	411.8848	208.54851	418.7002	208.009794	358.7121	204.53799	194.2100	98.738848
truck	3.6928	4.278771	38.5348	44.64969	37.2323	43.140492	33.7407	39.09477	3.6821	4.266405
active_travel	177.2032	124.089943	290.4976	274.64491	388.2123	249.896525	339.3088	243.28784	179.0808	119.064293

[1] NA

sao_paulo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0576	9.678019	1.0628	9.385062	1.1162	9.027556	0.9588	10.919599	1.1361	9.598395
car	13.8070	164.732230	13.8901	159.550272	12.8712	186.021541	14.6188	142.583797	14.5283	160.606844
cycle	257.3022	37.682498	3.5491	4.496309	263.8686	33.711642	248.5277	32.659587	278.0635	38.904501
motorcycle	261.6329	424.391408	261.6370	413.596100	274.6415	405.085428	281.3432	365.048902	184.9250	773.684185
other	22.7871	1.441407	22.4358	1.305961	23.0841	1.377230	22.1355	1.140405	24.5205	1.301749
pedestrian	207.6555	391.444962	208.0087	373.695051	224.2359	391.274217	191.3688	383.559107	237.1378	425.183927
truck	3.2599	14.619985	3.2373	14.518890	3.2789	14.705440	3.2181	14.432507	3.3711	15.118713
active_travel	211.2345	429.127460	123.4540	378.191360	226.9397	424.985859	194.8859	416.218694	240.1002	464.088427

[1] “ub”

sao_paulo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.6046	14.682813	1.6105	14.220975	1.6944	13.703219	1.4519	16.53561	1.7262	14.583903
car	15.2955	182.491880	15.3697	176.546008	14.2383	205.779134	16.2053	158.05836	16.1357	178.376306
cycle	317.8208	46.545582	4.6936	5.946203	325.5815	41.596030	307.2861	40.38116	343.2905	48.030562
motorcycle	283.7919	460.335139	283.1092	447.539419	297.7677	439.195572	305.1357	395.92009	200.2188	837.669950
other	48.8090	3.087429	47.9888	2.793376	49.4280	2.948943	47.3979	2.44190	52.5151	2.787933
pedestrian	224.0843	422.414429	224.4375	403.210122	241.5874	421.551266	206.6180	414.12287	257.0163	460.825726
truck	4.5562	20.433471	4.5167	20.256734	4.5844	20.560118	4.4906	20.13939	4.7274	21.201593
active_travel	230.8418	468.960011	133.5620	409.156326	247.3177	463.147296	212.8122	454.50403	263.2612	508.856289

[1] “lb”

sao_paulo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.6983	6.3893871	0.7022	6.2002781	0.7365	5.9562715	0.6341	7.2214042	0.7488	6.3265898
car	12.4946	149.0736033	12.5761	144.4574510	11.6622	168.5484421	13.2192	128.9331919	13.1140	144.9714434
cycle	208.7255	30.5683318	2.6839	3.4001467	214.2790	27.3761193	201.4128	26.4681189	225.6433	31.5702720
motorcycle	241.8355	392.2782510	242.0989	382.7102884	253.9126	374.5111514	260.0091	337.3674294	171.1646	716.1138260
other	10.6480	0.6735439	10.4936	0.6108226	10.7895	0.6437184	10.3458	0.5330082	11.4577	0.6082712
pedestrian	192.8572	363.5491439	193.1862	347.0659521	208.5639	363.9277367	177.6482	356.0588565	219.2422	393.0975056
truck	2.3453	10.5182937	2.3318	10.4576871	2.3580	10.5752145	2.3184	10.3977878	2.4174	10.8413817
active_travel	194.0011	394.1174756	114.4036	350.4660988	208.9538	391.3038560	179.1104	382.5269754	219.7056	424.6677775

[1] NA

temuco_padrelascasas mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	16.7323	8.0178571	16.8759	7.8052032	15.2009	8.6176136	17.7207	6.8532123	17.0655	7.5315693
cycle	78.3794	2.0617347	31.0484	2.2846829	86.1100	2.0023736	80.9302	1.8481766	77.6770	1.9346460
motorcycle	123.0872	1.8326531	124.1461	1.7737945	126.6928	1.7411468	7358.3471	89.0809907	51.7190	5.9312204
pedestrian	93.8095	8.2469388	93.6731	7.7858205	99.6064	8.3126956	88.4199	8.1846317	91.1477	7.7407426
truck	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633	2.4056	0.4581633
active_travel	90.2558	10.3086735	64.2655	10.0705034	96.6653	10.3150692	86.9377	10.0328083	88.0930	9.6753886

[1] “ub”

temuco_padrelascasas ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	54.1437	25.944888	54.6151	25.259807	49.2519	27.921577	57.6403	22.291506	55.2361	24.377562
cycle	254.3365	6.690208	103.0627	7.583818	278.3574	6.472830	264.5036	6.040384	251.6906	6.268684
motorcycle	509.5519	7.586752	513.7816	7.340891	524.9719	7.214720	33607.6165	406.857646	221.6106	25.414693
pedestrian	295.3516	25.964829	295.6267	24.571586	310.5080	25.913584	281.7810	26.083215	288.0562	24.463254
truck	14.1437	2.693811	14.1437	2.693811	14.1437	2.693811	14.1437	2.693811	14.1437	2.693811
active_travel	285.9057	32.655037	205.2017	32.155403	303.5019	32.386414	278.3620	32.123599	279.8097	30.731938

[1] “lb”

temuco_padrelascasas lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	5.4650	2.6187708	5.5097	2.5482616	4.9599	2.8118295	5.7615	2.2281588	5.5716	2.4589499
cycle	25.5852	0.6730064	9.9424	0.7316099	28.1891	0.6554998	26.2709	0.5999394	25.3820	0.6321727
motorcycle	30.9502	0.4608189	31.2274	0.4461753	31.8264	0.4373921	1663.5548	20.1391850	12.6842	1.4546477
pedestrian	33.1491	2.9141872	33.0113	2.7437956	35.4364	2.9573569	31.0053	2.8700214	32.1534	2.7306340
truck	0.4192	0.0798328	0.4192	0.0798328	0.4192	0.0798328	0.4192	0.0798328	0.4192	0.0798328
active_travel	31.4071	3.5871935	22.1785	3.4754055	33.8571	3.6128567	30.0684	3.4699608	30.6178	3.3628067

[1] NA

valdivia mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.1038	0.4338690	3.0938	0.4139459	3.2145	0.3776474	2.8927	0.5149620	3.1484	0.3974121
car	13.6717	3.1996214	13.9449	3.1124688	12.0968	3.3079510	14.2034	2.8560471	13.9253	3.0096300
cycle	80.2064	0.9484467	36.4796	1.2843416	83.2280	0.8922317	82.8013	0.9069095	81.4612	0.8997218
motorcycle	95.5490	0.6729878	96.8579	0.6205257	94.8846	0.6470705	99.5270	0.6594737	41.9431	2.0496104
pedestrian	71.0256	2.1883910	72.7846	2.1079437	71.8116	2.0602885	70.2925	2.3541879	71.0203	2.1027072
active_travel	73.5719	3.1368377	52.8652	3.3922853	74.9171	2.9525201	73.3751	3.2610973	73.8570	3.0024290

[1] “ub”

valdivia ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	24.2248	3.386277	24.2505	3.244645	24.8782	2.922715	23.6065	4.202461	24.6038	3.105632
car	81.8932	19.165719	83.4293	18.621179	72.0467	19.701629	85.1018	17.112394	83.3616	18.016617
cycle	613.6903	7.256935	310.2738	10.923856	634.0462	6.797187	630.4164	6.904852	619.9130	6.846812
motorcycle	877.6990	6.181965	884.3760	5.665804	873.6934	5.958201	901.9185	5.976181	411.3300	20.100231
pedestrian	366.1241	11.280752	374.1212	10.835067	370.5056	10.629871	360.9006	12.087043	364.6946	10.797555
active_travel	434.7859	18.537687	339.0903	21.758923	442.1931	17.427058	427.3202	18.991895	434.0353	17.644367

[1] “lb”

valdivia lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4898	0.0684645	0.4865	0.0650890	0.5107	0.0599941	0.4406	0.0784354	0.4965	0.0626767
car	2.5757	0.6028108	2.6303	0.5870817	2.2984	0.6285073	2.6709	0.5370735	2.6257	0.5674748
cycle	12.0342	0.1423055	5.0872	0.1791051	12.5270	0.1342936	12.4530	0.1363953	12.2884	0.1357226
motorcycle	12.7440	0.0897604	13.0424	0.0835567	12.6177	0.0860469	13.4502	0.0891222	5.2874	0.2583746
pedestrian	14.8235	0.4567312	15.2344	0.4412081	14.9944	0.4301915	14.7024	0.4924043	14.8740	0.4403761
active_travel	14.0499	0.5990366	9.6669	0.6203132	14.3232	0.5644851	14.1481	0.6287996	14.1715	0.5760988

[1] NA

accra mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.6208	10.325895	3.6358	10.1052429	3.7075	9.692375	3.2924	10.975316	3.2863	8.5916894
car	20.1294	22.290821	20.4791	21.5902886	16.0213	24.805406	20.9008	17.171283	17.5131	17.8383298
cycle	218.9227	8.195155	0.0677	0.0168007	231.5737	7.818343	197.7634	5.958030	198.4432	6.8708278
motorcycle	108.2008	23.110336	107.0704	22.8488297	110.4114	20.686397	104.8570	16.089853	1.3586	0.9602863
pedestrian	184.2331	112.437521	186.2858	106.6857177	203.1470	114.922180	167.2804	101.164844	172.0949	99.4665639
truck	14.7151	4.917093	14.6834	4.9064753	14.6779	4.904651	14.3985	4.811293	13.8663	4.6334372
active_travel	186.2379	120.632676	129.9934	106.7025184	204.7480	122.740523	168.7269	107.122874	173.5841	106.3373917

[1] “ub”

accra ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.2603	15.001774	5.2559	14.6082992	5.3846	14.076690	4.7528	15.843954	4.7205	12.341154
car	26.4292	29.267072	26.7002	28.1489553	20.9654	32.460287	27.3998	22.510600	22.7497	23.172150
cycle	297.4839	11.136013	0.0920	0.0228319	314.0435	10.602672	268.9697	8.103267	268.6780	9.302610
motorcycle	142.1805	30.367967	138.8561	29.6318919	144.7339	27.116971	137.6373	21.119854	1.9434	1.373656
pedestrian	212.1038	129.447047	214.0792	122.6029298	232.7726	131.681627	193.1118	116.786710	196.9907	113.855702
truck	24.3432	8.134311	24.2002	8.0865500	24.2332	8.097574	23.4601	7.839232	21.9960	7.350011
active_travel	217.0381	140.583060	149.3924	122.6257617	237.3497	142.284299	196.7115	124.889977	201.0424	123.158311

[1] “lb”

accra lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.5120	7.163785	2.5247	7.0172584	2.5720	6.723919	2.2966	7.655808	2.3051	6.0263368
car	15.4618	17.122066	15.7477	16.6022113	12.3385	19.103470	16.0670	13.200076	13.5996	13.8521451
cycle	161.4889	6.045176	0.0499	0.0123915	171.1235	5.777438	145.7644	4.391455	146.8800	5.0855205
motorcycle	83.6257	17.861386	82.9353	17.6984034	85.4243	16.004881	80.9844	12.426705	0.9516	0.6726197
pedestrian	162.2655	99.030675	164.0783	93.9674605	179.5456	101.570612	147.0055	88.903372	152.4254	88.0980864
truck	9.3251	3.115984	9.3157	3.1128513	9.3120	3.111620	9.2105	3.077717	9.0176	3.0132642
active_travel	162.2206	105.075850	114.4937	93.9798520	179.0713	107.348050	146.9466	93.294827	152.1120	93.1836068

[1] NA

bangalore mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.2254	15.95592	5.2653	15.57191	5.4224	15.44991	4.8938	18.73171	5.4557	14.03762
car	47.3674	33.24149	47.4812	32.64617	33.5134	48.81772	49.8031	30.88356	50.5313	29.49498
cycle	105.9265	25.26353	58.6627	36.33090	128.5207	28.02239	110.9205	24.07459	109.7135	22.81822
motorcycle	54.0344	398.89792	54.5159	390.92715	58.6692	405.62411	56.9428	372.19442	50.6832	412.96871
other	991.2027	15.95592	986.7673	15.22704	1041.4033	15.71712	987.1008	13.98603	974.4294	13.76548
pedestrian	715.2913	393.57928	724.2287	378.13896	837.2227	445.64081	685.8111	399.58994	706.4768	364.94414
truck	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660	51.9721	13.29660
active_travel	531.0297	418.84281	363.1096	414.46986	631.2794	473.66321	529.7815	423.66453	535.1774	387.76236

[1] “ub”

bangalore ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	11.8365	36.14330	11.9419	35.31785	12.3997	35.33023	10.9889	42.06164	12.4033	31.91372
car	84.6814	59.42767	85.0644	58.48685	60.1247	87.58135	88.9486	55.15823	90.2204	52.66133
cycle	173.2270	41.31477	95.9246	59.40792	209.7430	45.73195	181.5076	39.39508	179.4630	37.32472
motorcycle	66.3880	490.09584	67.2272	482.07856	72.1029	498.50150	69.9605	457.28219	62.2081	506.87468
other	2273.5409	36.59840	2269.4272	35.02008	2369.5603	35.76200	2265.4554	32.09877	2240.6293	31.65273
pedestrian	886.7402	487.91670	906.4947	473.30486	1031.8485	549.23716	850.7338	495.68266	875.8945	452.46009
truck	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721	97.8234	25.02721
active_travel	670.9859	529.23148	466.7001	532.71278	792.9510	594.96911	669.1008	535.07774	675.9856	489.78482

[1] “lb”

bangalore lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.4194	7.387837	2.4367	7.206413	2.4919	7.099988	2.2812	8.731558	2.5188	6.480927
car	26.6709	18.717063	26.7254	18.375275	18.7972	27.381169	28.0678	17.405188	28.4850	16.626619
cycle	65.0111	15.505191	36.0047	22.298420	78.9990	17.224787	68.0460	14.768950	67.3199	14.001183
motorcycle	44.4247	327.956349	44.8029	321.276259	48.1846	333.136305	46.8125	305.979776	41.6983	339.759858
other	470.4501	7.573085	467.8910	7.220139	496.6139	7.495022	468.3205	6.635536	461.7797	6.523429
pedestrian	585.5136	322.170906	591.8644	309.028082	687.7217	366.063742	560.9351	326.830570	578.0185	298.586570
truck	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291	27.6121	7.064291
active_travel	428.1225	337.676097	290.2692	331.326502	510.8316	383.288529	427.1613	341.599520	431.4238	312.587753

[1] NA

cape_town mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.7408	20.305130	5.6851	19.7718741	6.1247	19.466036	4.9367	21.899063	5.5649	18.162567
car	28.7087	188.431605	28.7594	183.6503329	27.4160	202.685546	30.3916	167.490722	28.2890	175.438054
cycle	474.2283	7.715949	0.1243	0.0410416	498.6905	6.603384	447.5923	7.050144	453.3322	6.960079
motorcycle	656.7633	47.717055	645.1096	46.1724620	668.4273	40.234199	636.6684	44.879541	1.5746	1.502118
other	117.1919	2.030513	115.0670	1.9030736	118.3083	1.615038	113.5056	1.966643	109.0378	1.889231
pedestrian	489.3325	331.988873	491.3970	320.2001561	541.5352	334.767478	461.5640	313.506140	479.9710	310.741551
truck	3.0095	6.294590	2.9462	6.1621453	3.0428	6.364175	2.8997	6.064825	2.7665	5.786342
active_travel	488.9788	339.704822	326.1489	320.2411977	540.6367	341.370862	461.2474	320.556284	479.3539	317.701630

[1] “ub”

cape_town ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	7.7646	27.46359	7.6584	26.6346280	8.2336	26.168721	6.7178	29.799805	7.4916	24.450871
car	32.1576	211.06805	32.1019	204.9948154	30.5820	226.092090	34.1032	187.945526	31.4764	195.205112
cycle	660.3431	10.74414	0.1730	0.0571483	693.8998	9.188238	623.7022	9.824097	630.9780	9.687503
motorcycle	800.1509	58.13486	781.9965	55.9698791	811.0570	48.819412	777.1580	54.782829	2.8311	2.700878
other	224.2562	3.88555	219.5791	3.6315804	225.9384	3.084307	217.2753	3.764597	207.9784	3.603515
pedestrian	526.1416	356.96212	528.2026	344.1831022	580.9922	359.159129	497.6071	337.987544	515.6014	333.809323
truck	5.0160	10.49128	4.9027	10.2542173	5.0487	10.559702	4.8567	10.158000	4.6320	9.688148
active_travel	529.2846	367.70626	350.5907	344.2402506	583.3600	368.347367	500.4650	347.811641	518.2742	343.496826

[1] “lb”

cape_town lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.3010	15.212616	4.2693	14.8480036	4.6134	14.6625962	3.6788	16.318872	4.1890	13.6718935
car	25.7924	169.289772	25.8844	165.2911854	24.7127	182.7002522	27.2576	150.218834	25.5526	158.4678793
cycle	340.7335	5.543918	0.0893	0.0294886	358.5481	4.7476964	321.3720	5.062015	325.8396	5.0026654
motorcycle	547.3226	39.765654	539.0958	38.5847321	558.8311	33.6373477	529.7122	37.340068	0.9477	0.9040928
other	61.3293	1.062616	60.3327	0.9978327	62.0232	0.8466846	59.3804	1.028848	57.2366	0.9917030
pedestrian	456.1661	309.487046	458.1453	298.5329432	505.7866	312.6683212	429.1886	291.515945	447.7576	289.8860244
truck	1.9932	4.168957	1.9559	4.0907634	2.0223	4.2296789	1.9173	4.010183	1.8388	3.8458848
active_travel	453.4626	315.030963	304.0702	298.5624318	502.6989	317.4160176	426.7450	296.577960	444.9333	294.8886898

[1] NA

delhi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.9742	7.476387	0.9813	7.279129	1.0193	7.204244	0.8681	8.787028	1.0267	6.746453
car	12.5375	123.734206	12.5773	121.750667	11.5871	137.921421	13.0360	113.765349	13.2766	113.591714
cycle	93.7394	101.678865	63.1137	129.398681	104.7058	100.385445	98.9443	93.454277	98.3415	96.197451
motorcycle	86.1816	758.479472	87.1632	736.102402	91.8492	744.305216	92.1866	681.153810	73.2421	874.747200
pedestrian	416.1992	869.503820	420.8727	840.568737	447.1509	876.160993	402.1382	848.466129	428.5751	827.416286
truck	15.5967	49.717974	15.5130	49.451238	15.8096	50.396624	15.4228	49.163793	15.5065	49.430461
active_travel	305.9952	971.182685	239.6489	969.967417	334.6437	976.546438	308.3814	941.920406	317.5219	923.613737

[1] “ub”

delhi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.9420	14.90258	1.9559	14.50933	2.0317	14.36002	1.7303	17.51365	2.0466	13.44900
car	14.8781	146.83388	14.9239	144.46633	13.7358	163.49794	15.4803	135.09757	15.7730	134.95077
cycle	108.3786	117.55794	72.9654	149.59723	120.9829	115.99092	114.4301	108.08083	113.7900	111.30911
motorcycle	93.3450	821.52359	94.4038	797.25060	99.4143	805.60920	99.8941	738.10328	79.3852	948.11639
pedestrian	449.5082	939.09143	454.5013	907.73187	482.2888	945.01131	434.6226	917.00461	463.5356	894.91187
truck	20.3960	65.01701	20.2820	64.65346	20.6832	65.93249	20.1608	64.26703	20.2761	64.63468
active_travel	332.9235	1056.64936	261.2332	1057.32910	363.5850	1061.00222	335.6093	1025.08544	345.9208	1006.22098

[1] “lb”

delhi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	0.4888	3.750794	0.4923	3.651848	0.5114	3.61429	0.4356	4.408679	0.5150	3.384249
car	10.5761	104.377318	10.6107	102.713489	9.7844	116.46424	10.9892	95.902908	11.1872	95.715660
cycle	81.0842	87.951795	54.5965	111.936344	90.6257	86.88633	85.5610	80.813588	84.9978	83.144643
motorcycle	79.5887	700.455684	80.4987	679.820607	84.8816	687.84246	85.0958	628.761134	67.5923	807.271260
pedestrian	386.2095	806.850752	390.5907	780.089333	415.4408	814.02730	372.9245	786.828636	397.1211	766.690547
truck	11.9391	38.058632	11.8777	37.862927	12.0969	38.56168	11.8106	37.649136	11.8713	37.842543
active_travel	281.9297	894.802547	220.3919	892.025677	308.7257	900.91363	284.0629	867.642225	292.1581	849.835190

[1] NA

vizag mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.9785	3.364374	1.9973	3.246203	2.0446	3.109172	1.8971	3.870737	2.0440	3.010756
car	71.6483	8.074498	72.9161	7.730369	46.3810	21.850285	78.6850	6.480477	77.2893	7.108094
cycle	159.9198	15.924705	90.2868	22.263098	235.4244	21.566997	168.6456	12.959119	184.9037	16.276239
motorcycle	140.3660	117.753097	142.0872	114.330125	158.1916	119.883676	156.7852	95.690099	118.9914	152.265080
other	16.2545	2.018625	16.1392	1.984356	18.1154	1.999011	15.7892	1.357952	16.4609	1.345546
pedestrian	342.3609	116.631639	344.7824	110.280192	492.3731	159.618662	307.9099	105.637544	380.9173	121.605970
truck	176.3293	7.177332	175.7564	7.154014	185.5712	7.553515	174.0183	7.083264	177.3542	7.219050
active_travel	301.0947	132.556343	233.9950	132.543289	435.7610	181.185659	282.4257	118.596663	338.5519	137.882209

[1] “ub”

vizag ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	4.4714	7.603671	4.5193	7.345408	4.7629	7.242712	4.2181	8.606184	4.6720	6.881518
car	119.9968	13.523194	122.1499	12.950011	76.9796	36.265463	131.9875	10.870460	129.7293	11.930861
cycle	214.4055	21.350351	121.0521	29.849252	315.4771	28.900547	226.4005	17.397146	247.5683	21.792319
motorcycle	162.8657	136.628117	164.8144	132.617456	184.5628	139.868781	181.7936	110.953379	137.9906	176.577003
other	33.8530	4.204155	33.6091	4.132326	37.7775	4.168694	32.8714	2.827108	34.2898	2.802915
pedestrian	409.9400	139.653749	412.8911	132.065075	586.9851	190.290215	370.0075	126.941944	454.5437	145.110839
truck	298.8280	12.163536	297.1133	12.093741	326.4525	13.287965	291.9299	11.882754	301.8832	12.287892
active_travel	365.7123	161.004100	285.8473	161.914326	527.1653	219.190763	343.7286	144.339090	409.8090	166.903158

[1] “lb”

vizag lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.0467	1.7799201	1.0563	1.716842	1.0728	1.631331	1.0081	2.0567522	1.0781	1.5879825
car	42.8759	4.8319607	43.6239	4.624890	28.0007	13.191245	47.0141	3.8720663	46.1529	4.2445647
cycle	119.2903	11.8788482	67.3462	16.606354	175.6951	16.095259	125.6352	9.6541058	138.1124	12.1574125
motorcycle	121.0993	101.5903005	122.6188	98.664874	135.7655	102.888329	135.3592	82.6132516	102.7040	131.4231682
other	7.8054	0.9693366	7.7508	0.952986	8.6878	0.958682	7.5848	0.6523307	7.9029	0.6459966
pedestrian	289.0666	98.4759340	291.0917	93.106998	416.2020	134.925330	259.3502	88.9776935	322.4308	102.9344588
truck	109.5970	4.4610509	109.4056	4.453261	112.6889	4.586905	108.8228	4.4295369	109.9408	4.4750460
active_travel	250.6650	110.3547822	193.6905	109.713352	363.2124	151.020589	234.8814	98.6317993	282.5932	115.0918714

[1] NA

kisumu mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	60.8717	7.4739810	61.7380	7.2057107	70.3043	7.4038537	51.1758	8.2793210	67.2606	6.4449217
car	34.3764	1.9668371	34.9455	1.8966662	27.0993	2.6554738	39.9293	1.6526078	36.9292	1.7513025
cycle	90.1872	1.5734697	53.9066	2.1508656	102.9676	1.6657560	91.8789	1.4804463	91.1094	1.4581241
motorcycle	200.3160	29.8959240	204.9100	28.5296553	227.5296	29.8456318	219.8319	25.9993515	170.1876	32.9205581
other	944.2593	2.7535720	933.1825	2.7212707	1001.4961	1.7050208	922.5567	1.6017301	917.4580	2.0722876
pedestrian	274.7307	14.9479620	278.5141	14.2978369	309.2731	15.8986564	269.0039	14.4233080	276.2590	13.7960276
truck	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674	22.8334	0.3933674
active_travel	229.9235	16.5214317	180.2874	16.4487025	259.8901	17.5644124	228.0746	15.9037543	231.3238	15.2541517

[1] “ub”

kisumu ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	126.1438	15.488269	127.6679	14.900679	142.9751	15.056916	107.6112	17.409544	138.8845	13.307933
car	130.7884	7.483014	132.6491	7.199533	106.3422	10.420509	148.7812	6.157815	139.5439	6.617629
cycle	263.1848	4.591706	157.0971	6.268152	298.9203	4.835778	267.7024	4.313494	266.9289	4.271958
motorcycle	286.3058	42.729382	292.4006	40.710988	324.9197	42.620543	314.7359	37.223575	242.1583	46.842343
other	2183.5872	6.367599	2155.1046	6.284540	2307.0531	3.927697	2130.6076	3.699131	2126.3897	4.802935
pedestrian	445.8507	24.258521	450.7709	23.140836	497.2576	25.562284	435.3888	23.344440	451.4766	22.546170
truck	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586	168.7153	2.906586
active_travel	401.4994	28.850228	322.3397	29.408987	449.7819	30.398063	396.6405	27.657934	406.6875	26.818128

[1] “lb”

kisumu lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	34.0747	4.1837804	34.6055	4.0389640	39.5416	4.1641873	28.6014	4.6271865	37.6244	3.6051784
car	10.5845	0.6055874	10.7785	0.5850055	8.1953	0.8030561	12.4470	0.5151626	11.4084	0.5410258
cycle	31.3587	0.5471060	18.7631	0.7486465	35.9230	0.5811439	31.9779	0.5152607	31.5871	0.5055226
motorcycle	144.7137	21.5976300	148.1904	20.6325762	164.0556	21.5195882	158.6063	18.7582469	123.4523	23.8802176
other	417.3369	1.2170040	412.8272	1.2038531	443.4634	0.7549848	408.0717	0.7084884	404.9336	0.9146346
pedestrian	175.7425	9.5620642	178.5100	9.1640135	198.7184	10.2154232	172.2581	9.2360415	176.1066	8.7945388
truck	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370	3.0902	0.0532370
active_travel	140.6861	10.1091702	108.6486	9.9126600	159.7503	10.7965671	139.8428	9.7513022	141.0322	9.3000614

[1] NA

nairobi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	3.0348	33.436231	3.0567	32.7688239	3.1515	32.380315	2.8988	34.621195	3.1050	32.149892
car	13.5455	68.839299	13.5752	67.9001284	12.4494	75.681252	14.6113	61.756133	13.8443	66.248032
cycle	48.3105	9.834186	0.0079	0.0057761	50.1991	9.585743	46.3768	8.030495	47.3649	9.024736
motorcycle	111.8782	158.330387	112.8275	154.8740675	116.8594	153.251191	119.0080	144.511977	84.2965	213.276044
other	173.1908	8.850767	172.1336	8.6833115	174.4684	8.117700	171.2664	7.293684	172.1354	8.254906
pedestrian	254.0872	449.422279	258.7359	432.1947313	272.7148	454.729831	246.8730	427.153339	257.3740	429.002456
truck	2.9925	4.917093	2.9925	4.9170928	2.9925	4.917093	2.9925	4.917093	2.9925	4.917093
active_travel	232.8492	459.256465	179.9089	432.2005074	249.8505	464.315574	228.6335	435.183834	235.8305	438.027192

[1] “ub”

nairobi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	5.0153	55.25711	5.0030	53.6347639	5.1924	53.34989	4.7910	57.21984	5.1210	53.02391
car	19.4784	98.99082	19.3110	96.5894588	17.8946	108.78352	20.9366	88.49055	19.8712	95.08805
cycle	92.5323	18.83606	0.0151	0.0110627	96.0623	18.34353	88.8177	15.37948	90.9658	17.33228
motorcycle	142.9419	202.29184	142.0381	194.9703164	148.8878	195.25371	151.4637	183.92300	107.8568	272.88539
other	346.5299	17.70911	341.1808	17.2109362	348.5986	16.21967	342.0385	14.56632	343.9785	16.49579
pedestrian	300.0748	530.76402	304.6939	508.9634998	321.1677	535.52102	291.5093	504.38539	305.9946	510.04561
truck	7.3194	12.02689	7.3194	12.0268859	7.3194	12.02689	7.3194	12.02689	7.3194	12.02689
active_travel	278.6546	549.60008	211.8671	508.9745626	298.0373	553.86455	273.0700	519.76487	283.9363	527.37789

[1] “lb”

nairobi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	1.8872	20.792189	1.9055	20.4274249	1.9637	20.176097	1.8010	21.509832	1.9330	20.014379
car	9.5954	48.764564	9.6388	48.2111854	8.8141	53.582057	10.3724	43.839905	9.8151	46.967633
cycle	25.2573	5.141432	0.0041	0.0030199	26.2650	5.015419	24.2479	4.198707	24.7035	4.706908
motorcycle	90.9750	128.748165	92.0096	126.2981499	95.1039	124.720680	96.9137	117.682710	68.5315	173.389522
other	87.4373	4.468410	87.1162	4.3945929	88.1389	4.100943	86.5332	3.685172	86.9488	4.169706
pedestrian	216.9716	383.773251	221.0464	369.2379306	233.3631	389.114028	210.7262	364.610144	218.6480	364.452319
truck	1.2235	2.010313	1.2235	2.0103127	1.2235	2.010313	1.2235	2.010313	1.2235	2.010313
active_travel	197.1850	388.914684	153.7012	369.2409505	212.0830	394.129447	193.7619	368.808851	198.7525	369.159227

[1] NA

port_louis mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	10.2700	0.9834186	10.0360	0.9302421	11.5085	0.9097108	8.2235	1.030317	12.0960	0.9768358
cycle	1057.0057	2.2946433	563.7504	10.9793302	63113.9368	112.1018945	57971.5741	102.968118	67778.4352	109.2399619
motorcycle	264.7875	19.0127587	269.3244	17.5712193	287.2066	17.5523017	271.5066	16.664254	225.5785	24.1306376
pedestrian	475.4876	12.4566350	465.4001	11.5524884	504.0983	12.2035712	434.3827	11.775082	531.4083	12.7540113
truck	78.5533	1.6390309	77.3748	1.6144423	78.7718	1.6435906	76.4378	1.594892	80.1280	1.6718877
active_travel	519.9881	14.7512783	508.6394	22.5318186	4783.7581	124.3054657	3972.5793	114.743199	4763.1348	121.9939733

[1] “ub”

port_louis ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	35.7111	3.419555	34.9274	3.237433	40.0338	3.164543	28.6577	3.590495	41.9472	3.387532
cycle	3286.7232	7.135115	1604.8261	31.254818	273285.8363	485.405626	251137.8724	446.066791	293940.1136	473.749603
motorcycle	451.6368	32.429253	459.0217	29.947416	489.7823	29.932483	463.8304	28.468510	383.8544	41.061777
pedestrian	848.5681	22.230449	831.9549	20.651370	897.9508	21.738235	779.9478	21.142530	944.1912	22.660964
truck	295.0952	6.157225	289.9299	6.049450	296.0194	6.176509	285.9615	5.966648	301.8308	6.297764
active_travel	1035.1472	29.365564	1171.7443	51.906188	19516.8696	507.143861	16175.4777	467.209321	19381.8627	496.410568

[1] “lb”

port_louis lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
bus	2.9621	0.2836423	2.8924	0.2681002	3.3176	0.2622464	2.3675	0.2966182	3.4977	0.2824624
cycle	362.2273	0.7863556	205.8773	4.0095672	14875.0874	26.4208757	13682.1140	24.3019367	15923.7172	25.6645976
motorcycle	157.1202	11.2818339	159.9698	10.4367194	170.3985	10.4137061	160.9350	9.8777079	134.1858	14.3541601
pedestrian	268.2690	7.0280056	262.2070	6.5086855	284.9184	6.8975077	243.6882	6.6058083	301.0539	7.2254127
truck	21.3117	0.4446727	21.0428	0.4390619	21.3632	0.4457470	20.8220	0.4344549	21.6796	0.4523487
active_travel	275.4592	7.8143612	237.4419	10.5182528	1282.2211	33.3183834	1070.0718	30.9077450	1284.1581	32.8900102

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.51	0.50	0.46	0.59	0.48	2.54
car	3.60	3.51	3.82	3.21	3.39	17.53
cycle	0.09	0.00	0.08	0.07	0.08	0.32
motorcycle	0.86	0.81	0.82	0.82	3.19	6.50
pedestrian	1.54	1.46	1.58	1.46	1.44	7.48
truck	0.86	0.86	0.86	0.85	0.85	4.28
active_travel	1.63	1.46	1.66	1.53	1.52	7.80
Total	9.09	8.60	9.28	8.53	10.95	46.45

[1] “ub”

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.70	1.65	1.54	1.95	1.60	8.44
car	8.52	8.30	9.07	7.60	8.02	41.51
cycle	0.66	0.01	0.64	0.56	0.61	2.48
motorcycle	2.74	2.59	2.62	2.62	10.61	21.18
pedestrian	2.88	2.73	2.91	2.79	2.69	14.00
truck	2.97	2.96	2.99	2.94	2.95	14.81
active_travel	3.54	2.74	3.55	3.34	3.30	16.47
Total	23.01	20.98	23.32	21.80	29.78	118.89

[1] “lb”

antofagasta
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.16	0.15	0.14	0.18	0.15	0.78
car	1.60	1.56	1.70	1.43	1.51	7.80
cycle	0.01	0.00	0.01	0.01	0.01	0.04
motorcycle	0.27	0.26	0.26	0.26	0.98	2.03
pedestrian	0.88	0.83	0.90	0.82	0.82	4.25
truck	0.27	0.27	0.27	0.27	0.27	1.35
active_travel	0.89	0.83	0.91	0.83	0.83	4.29
Total	4.08	3.90	4.19	3.80	4.57	20.54

[1] “arica” [1] NA

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.29	0.28	0.25	0.37	0.26	1.45
car	5.99	5.77	6.32	5.27	5.55	28.90
cycle	0.44	0.73	0.43	0.40	0.40	2.40
motorcycle	1.32	1.25	1.23	1.28	4.97	10.05
pedestrian	6.14	5.82	6.13	5.94	5.70	29.73
truck	1.61	1.60	1.61	1.60	1.60	8.02
active_travel	6.58	6.55	6.56	6.34	6.10	32.13
Total	22.37	22.00	22.53	21.20	24.58	112.68

[1] “ub”

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	2.19	2.11	1.87	2.78	1.96	10.91
car	9.39	9.04	9.86	8.32	8.70	45.31
cycle	1.48	2.46	1.46	1.36	1.34	8.10
motorcycle	3.50	3.34	3.29	3.42	12.92	26.47
pedestrian	10.73	10.19	10.56	10.69	10.01	52.18
truck	3.86	3.83	3.87	3.82	3.80	19.18
active_travel	12.21	12.65	12.02	12.05	11.36	60.29
Total	43.36	43.62	42.93	42.44	50.09	222.44

[1] “lb”

arica
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.04	0.04	0.03	0.05	0.03	0.19
car	3.91	3.77	4.14	3.43	3.63	18.88
cycle	0.13	0.22	0.13	0.12	0.12	0.72
motorcycle	0.50	0.48	0.47	0.49	1.93	3.87
pedestrian	3.87	3.66	3.90	3.66	3.58	18.67
truck	0.80	0.80	0.80	0.79	0.79	3.98
active_travel	4.00	3.88	4.03	3.78	3.70	19.39
Total	13.25	12.85	13.50	12.32	13.78	65.70

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.15	0.13	0.66
car	2.39	2.34	2.63	2.18	2.31	11.85
cycle	0.38	1.12	0.35	0.36	0.37	2.58
motorcycle	3.34	3.30	3.13	3.12	4.19	17.08
other	1.32	1.29	1.19	1.16	1.25	6.21
pedestrian	4.26	4.12	4.10	4.36	4.33	21.17
rail	0.00	0.00	0.00	0.00	0.00	0.00
truck	0.18	0.18	0.18	0.18	0.19	0.91
active_travel	4.64	5.24	4.45	4.72	4.70	23.75
Total	16.64	17.72	16.15	16.23	17.47	84.21

[1] “ub”

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.22	0.21	0.20	0.25	0.21	1.09
car	2.72	2.66	2.98	2.48	2.62	13.46
cycle	0.52	1.53	0.47	0.49	0.51	3.52
motorcycle	3.79	3.77	3.56	3.54	4.75	19.41
other	1.52	1.48	1.37	1.34	1.44	7.15
pedestrian	4.77	4.64	4.59	4.88	4.85	23.73
rail	0.03	0.03	0.03	0.03	0.03	0.15
truck	0.28	0.28	0.28	0.28	0.29	1.41
active_travel	5.29	6.17	5.06	5.37	5.36	27.25
Total	19.14	20.77	18.54	18.66	20.06	97.17

[1] “lb”

belo_horizonte
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.08	0.07	0.09	0.08	0.40
car	2.12	2.06	2.33	1.92	2.04	10.47
cycle	0.28	0.83	0.25	0.26	0.27	1.89
motorcycle	2.96	2.91	2.78	2.76	3.71	15.12
other	1.15	1.13	1.04	1.02	1.09	5.43
pedestrian	3.82	3.68	3.69	3.92	3.88	18.99
rail	0.00	0.00	0.00	0.00	0.00	0.00
truck	0.12	0.12	0.12	0.12	0.12	0.60
active_travel	4.10	4.51	3.94	4.18	4.15	20.88
Total	14.63	15.32	14.22	14.27	15.34	73.78

[1] “bogota” [1] NA

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.14	0.12	0.64
car	0.36	0.36	0.40	0.32	0.35	1.79
cycle	1.10	1.27	1.07	1.01	1.09	5.54
motorcycle	3.42	3.37	3.33	3.04	3.85	17.01
pedestrian	2.92	2.82	2.85	2.89	2.93	14.41
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	4.02	4.10	3.91	3.90	4.02	19.95
Total	11.98	12.08	11.71	11.33	12.39	59.49

[1] “ub”

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.23	0.22	0.22	0.25	0.22	1.14
car	0.56	0.55	0.62	0.50	0.54	2.77
cycle	1.41	1.66	1.37	1.29	1.40	7.13
motorcycle	4.32	4.28	4.20	3.85	4.91	21.56
pedestrian	3.64	3.53	3.54	3.60	3.65	17.96
truck	0.08	0.08	0.08	0.08	0.09	0.41
active_travel	5.05	5.18	4.91	4.89	5.05	25.08
Total	15.29	15.50	14.94	14.46	15.86	76.05

[1] “lb”

bogota
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.07	0.07	0.08	0.07	0.36
car	0.23	0.23	0.26	0.21	0.23	1.16
cycle	0.86	0.99	0.84	0.79	0.86	4.34
motorcycle	2.72	2.69	2.66	2.43	3.04	13.54
pedestrian	2.36	2.28	2.30	2.33	2.36	11.63
truck	0.01	0.01	0.01	0.01	0.01	0.05
active_travel	3.22	3.26	3.13	3.12	3.22	15.95
Total	9.47	9.53	9.27	8.97	9.79	47.03

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.04	0.04	0.04	0.05	0.04	0.21
car	0.97	0.94	1.13	69.95	0.94	73.93
cycle	0.17	0.28	0.17	2.62	0.19	3.43
motorcycle	2.35	2.31	2.27	1889.54	3.77	1900.24
pedestrian	2.85	2.74	2.84	58.82	3.23	70.48
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	3.02	3.02	3.01	61.43	3.41	73.89
Total	9.43	9.36	9.49	2082.44	11.61	2122.33

[1] “ub”

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.12	0.11	0.11	0.14	0.11	0.59
car	1.33	1.30	1.55	119.31	1.31	124.80
cycle	0.37	0.62	0.36	4.95	0.40	6.70
motorcycle	3.09	3.06	2.97	2484.43	4.96	2498.51
pedestrian	3.57	3.47	3.55	74.95	4.06	89.60
truck	0.10	0.10	0.10	0.10	0.10	0.50
active_travel	3.94	4.09	3.90	79.90	4.45	96.28
Total	12.52	12.75	12.54	2763.78	15.39	2816.98

[1] “lb”

buenos_aires
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.01	0.01	0.01	0.02	0.01	0.06
car	0.72	0.70	0.84	41.05	0.69	44.00
cycle	0.08	0.13	0.08	1.39	0.09	1.77
motorcycle	1.81	1.78	1.75	1461.84	2.91	1470.09
pedestrian	2.30	2.20	2.30	46.19	2.59	55.58
truck	0.01	0.01	0.01	0.01	0.01	0.05
active_travel	2.38	2.34	2.38	47.57	2.68	57.35
Total	7.31	7.17	7.37	1598.07	8.98	1628.90

[1] “cali” [1] NA

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.02	0.02	0.02	0.02	0.02	0.10
car	0.70	0.69	0.79	0.64	0.66	3.48
cycle	1.82	2.39	1.77	1.67	1.79	9.44
motorcycle	9.66	9.46	9.43	8.87	10.09	47.51
other	0.02	0.02	0.01	0.01	0.02	0.08
pedestrian	5.54	5.34	5.45	5.36	5.43	27.12
active_travel	7.37	7.73	7.22	7.03	7.22	36.57
Total	25.13	25.65	24.69	23.60	25.23	124.30

[1] “ub”

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.13	0.12	0.18	0.12	0.68
car	1.10	1.08	1.24	1.01	1.04	5.47
cycle	2.42	3.21	2.34	2.22	2.36	12.55
motorcycle	11.53	11.31	11.22	10.58	12.02	56.66
other	0.13	0.12	0.10	0.10	0.12	0.57
pedestrian	6.60	6.38	6.48	6.40	6.45	32.31
active_travel	9.01	9.59	8.82	8.62	8.81	44.85
Total	30.92	31.82	30.32	29.11	30.92	153.09

[1] “lb”

cali
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.00	0.00	0.00	0.00	0.00	0.00
car	0.46	0.45	0.52	0.42	0.43	2.28
cycle	1.41	1.84	1.37	1.29	1.39	7.30
motorcycle	8.22	8.04	8.04	7.54	8.60	40.44
other	0.00	0.00	0.00	0.00	0.00	0.00
pedestrian	4.69	4.50	4.61	4.52	4.60	22.92
active_travel	6.10	6.35	5.98	5.81	5.99	30.23
Total	20.88	21.18	20.52	19.58	21.01	103.17

[1] “copiapo” [1] NA

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.63	0.61	0.54	0.84	0.58	3.20
car	4.60	4.46	4.77	4.10	4.29	22.22
cycle	1.05	2.19	1.01	1.02	1.14	6.41
motorcycle	2.30	2.18	2.12	2.28	8.31	17.19
pedestrian	2.30	2.19	2.25	2.35	2.51	11.60
truck	0.84	0.83	0.83	0.84	0.87	4.21
active_travel	3.35	4.38	3.26	3.37	3.65	18.01
Total	15.07	16.84	14.78	14.80	21.35	82.84

[1] “ub”

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.99	1.93	1.72	2.66	1.83	10.13
car	8.57	8.31	8.84	7.73	8.38	41.83
cycle	3.35	6.98	3.19	3.32	4.56	21.40
motorcycle	6.14	5.83	5.65	6.10	22.25	45.97
pedestrian	5.94	5.65	5.71	6.20	8.40	31.90
truck	3.82	3.78	3.78	3.83	4.38	19.59
active_travel	9.29	12.63	8.90	9.52	12.97	53.31
Total	39.10	45.11	37.79	39.36	62.77	224.13

[1] “lb”

copiapo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.20	0.19	0.17	0.26	0.18	1.00
car	2.86	2.78	2.98	2.55	2.66	13.83
cycle	0.36	0.74	0.35	0.34	0.35	2.14
motorcycle	0.87	0.83	0.81	0.86	3.14	6.51
pedestrian	1.00	0.95	0.99	1.00	0.98	4.92
truck	0.22	0.22	0.22	0.22	0.22	1.10
active_travel	1.36	1.70	1.34	1.34	1.33	7.07
Total	6.87	7.41	6.86	6.57	8.86	36.57

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.43	0.42	0.40	0.51	0.41	2.17
car	4.17	4.06	4.34	3.78	3.89	20.24
cycle	0.43	0.00	0.39	0.38	0.38	1.58
motorcycle	1.80	1.76	1.70	1.62	6.91	13.79
pedestrian	2.52	2.39	2.51	2.41	2.32	12.15
truck	0.29	0.29	0.29	0.29	0.29	1.45
active_travel	2.95	2.39	2.90	2.80	2.70	13.74
Total	12.59	11.31	12.53	11.79	16.90	65.12

[1] “ub”

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.40	1.37	1.29	1.63	1.31	7.00
car	6.18	6.01	6.41	5.63	5.75	29.98
cycle	1.03	0.00	0.92	0.92	0.92	3.79
motorcycle	3.45	3.38	3.26	3.11	13.42	26.62
pedestrian	3.90	3.70	3.86	3.79	3.59	18.84
truck	0.78	0.78	0.78	0.78	0.78	3.90
active_travel	4.93	3.71	4.79	4.72	4.51	22.66
Total	21.67	18.95	21.31	20.58	30.28	112.79

[1] “lb”

coquimbo_laserena
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.14	0.13	0.17	0.13	0.71
car	2.87	2.79	2.99	2.59	2.67	13.91
cycle	0.18	0.00	0.16	0.16	0.16	0.66
motorcycle	0.94	0.92	0.89	0.85	3.57	7.17
pedestrian	1.67	1.58	1.67	1.58	1.53	8.03
truck	0.11	0.11	0.11	0.11	0.11	0.55
active_travel	1.85	1.58	1.83	1.74	1.69	8.69
Total	7.76	7.12	7.78	7.20	9.86	39.72

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.06	0.06	0.07	0.06	0.32
car	2.13	2.05	2.27	1.89	1.96	10.30
cycle	0.07	0.00	0.06	0.05	0.06	0.24
motorcycle	0.86	0.83	0.71	0.65	0.20	3.25
other	0.03	0.03	0.03	0.03	0.03	0.15
pedestrian	2.69	2.56	2.69	2.67	2.50	13.11
truck	0.40	0.40	0.40	0.40	0.40	2.00
active_travel	2.76	2.56	2.75	2.73	2.55	13.35
Total	9.01	8.49	8.97	8.49	7.76	42.72

[1] “ub”

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.52	0.49	0.48	0.58	0.47	2.54
car	3.49	3.24	3.65	3.07	3.07	16.52
cycle	0.28	0.00	0.26	0.23	0.24	1.01
motorcycle	1.70	1.58	1.39	1.27	0.38	6.32
other	0.27	0.25	0.24	0.25	0.23	1.24
pedestrian	3.98	3.76	3.93	3.98	3.67	19.32
truck	0.71	0.71	0.71	0.71	0.71	3.55
active_travel	4.26	3.76	4.20	4.21	3.91	20.34
Total	15.21	13.79	14.86	14.30	12.68	70.84

[1] “lb”

gran_valparaiso
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.01	0.01	0.01	0.01	0.01	0.05
car	1.43	1.38	1.53	1.26	1.33	6.93
cycle	0.02	0.00	0.01	0.01	0.01	0.05
motorcycle	0.46	0.44	0.38	0.34	0.11	1.73
other	0.00	0.00	0.00	0.00	0.00	0.00
pedestrian	1.95	1.85	1.96	1.92	1.81	9.49
truck	0.22	0.22	0.22	0.22	0.22	1.10
active_travel	1.97	1.85	1.97	1.93	1.82	9.54
Total	6.06	5.75	6.08	5.69	5.31	28.89

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.32	0.29	0.29	0.36	0.32	1.58
car	3.31	3.17	3.43	2.99	3.12	16.02
cycle	0.32	0.00	0.27	0.30	0.33	1.22
motorcycle	1.17	1.10	1.08	1.12	4.87	9.34
pedestrian	1.71	1.62	1.68	1.71	1.79	8.51
truck	0.53	0.53	0.53	0.53	0.53	2.65
active_travel	2.03	1.62	1.95	2.01	2.12	9.73
Total	9.39	8.33	9.23	9.02	13.08	49.05

[1] “ub”

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.30	1.10	1.17	1.46	1.41	6.44
car	5.92	5.44	6.07	5.38	5.87	28.68
cycle	1.22	0.02	1.03	1.14	1.50	4.91
motorcycle	3.15	2.81	2.88	3.01	12.44	24.29
pedestrian	4.00	3.73	3.85	4.08	5.30	20.96
truck	1.30	1.30	1.30	1.30	1.30	6.50
active_travel	5.22	3.75	4.88	5.23	6.79	25.87
Total	22.11	18.15	21.18	21.60	34.61	117.65

[1] “lb”

iquique_altohospicio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.09	0.08	0.08	0.10	0.08	0.43
car	2.06	1.99	2.15	1.85	1.92	9.97
cycle	0.09	0.00	0.08	0.08	0.09	0.34
motorcycle	0.46	0.44	0.43	0.44	2.00	3.77
pedestrian	0.83	0.79	0.83	0.82	0.80	4.07
truck	0.22	0.22	0.22	0.22	0.22	1.10
active_travel	0.92	0.79	0.90	0.90	0.88	4.39
Total	4.67	4.31	4.69	4.41	5.99	24.07

[1] “medellin” [1] NA

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.01	0.01	0.01	0.01	0.01	0.05
bus	0.15	0.15	0.15	0.19	0.14	0.78
car	0.24	0.24	0.31	0.22	0.23	1.24
cycle	0.55	0.06	0.50	0.45	0.52	2.08
motorcycle	6.91	6.77	6.76	6.42	7.52	34.38
pedestrian	4.13	3.95	4.23	4.15	4.09	20.55
truck	0.04	0.04	0.04	0.04	0.04	0.20
active_travel	4.68	4.00	4.73	4.60	4.61	22.62
Total	16.71	15.22	16.73	16.08	17.16	81.90

[1] “ub”

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.08	0.07	0.06	0.05	0.07	0.33
bus	0.32	0.31	0.30	0.39	0.30	1.62
car	0.43	0.42	0.54	0.39	0.41	2.19
cycle	0.82	0.09	0.75	0.66	0.77	3.09
motorcycle	7.99	7.76	7.81	7.42	8.68	39.66
pedestrian	4.84	4.62	4.95	4.87	4.79	24.07
truck	Inf	Inf	Inf	Inf	Inf	Inf
active_travel	5.66	4.71	5.70	5.53	5.56	27.16
Total	Inf	Inf	Inf	Inf	Inf	Inf

[1] “lb”

medellin
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
auto_rickshaw	0.00	0.00	0.00	0.00	0.00	0.00
bus	0.08	0.08	0.08	0.10	0.08	0.42
car	0.15	0.14	0.19	0.13	0.14	0.75
cycle	0.37	0.04	0.34	0.30	0.35	1.40
motorcycle	6.01	5.90	5.87	5.58	6.54	29.90
pedestrian	3.53	3.37	3.61	3.54	3.49	17.54
truck	0.02	0.02	0.02	0.02	0.02	0.10
active_travel	3.90	3.41	3.96	3.84	3.84	18.95
Total	14.06	12.96	14.07	13.51	14.46	69.06

[1] “mexico_city” [1] NA

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.16	0.16	0.15	0.18	0.14	0.79
car	4.19	4.08	4.53	3.59	3.31	19.70
cycle	0.47	0.02	0.43	0.41	0.37	1.70
motorcycle	1.49	1.40	1.36	1.23	0.05	5.53
other	0.71	0.66	0.63	0.55	0.26	2.81
pedestrian	7.30	6.97	7.14	7.26	5.80	34.47
truck	0.14	0.14	0.14	0.14	0.14	0.70
active_travel	7.77	6.99	7.57	7.67	6.17	36.17
Total	22.23	20.42	21.95	21.03	16.24	101.87

[1] “ub”

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.39	0.38	0.36	0.43	0.30	1.86
car	4.99	4.84	5.38	4.27	3.88	23.36
cycle	0.78	0.05	0.71	0.68	0.62	2.84
motorcycle	2.08	1.92	1.90	1.72	0.08	7.70
other	1.08	1.00	0.97	0.84	0.46	4.35
pedestrian	8.60	8.19	8.40	8.55	6.79	40.53
truck	0.26	0.26	0.26	0.26	0.26	1.30
active_travel	9.38	8.24	9.11	9.23	7.41	43.37
Total	27.56	24.88	27.09	25.98	19.80	125.31

[1] “lb”

mexico_city
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.08	0.07	0.09	0.08	0.40
car	3.53	3.45	3.83	3.03	2.84	16.68
cycle	0.29	0.01	0.27	0.25	0.23	1.05
motorcycle	1.08	1.03	0.99	0.90	0.04	4.04
other	0.49	0.46	0.44	0.38	0.16	1.93
pedestrian	6.25	5.97	6.12	6.22	5.00	29.56
truck	0.07	0.07	0.07	0.07	0.07	0.35
active_travel	6.54	5.98	6.39	6.47	5.22	30.60
Total	18.33	17.05	18.18	17.41	13.64	84.61

[1] “montevideo” [1] NA

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	1.43	1.39	1.59	1.24	1.36	7.01
cycle	0.45	0.95	0.45	0.41	0.44	2.70
motorcycle	4.67	4.51	4.56	3.94	6.13	23.81
pedestrian	1.85	1.76	1.84	1.80	1.81	9.06
truck	0.10	0.10	0.10	0.10	0.10	0.50
active_travel	2.30	2.71	2.29	2.21	2.25	11.76
Total	10.83	11.45	10.86	9.74	12.12	55.00

[1] “ub”

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.23	0.30	0.24	1.28
car	2.40	2.33	2.64	2.09	2.29	11.75
cycle	1.04	2.31	1.01	0.95	1.00	6.31
motorcycle	6.62	6.37	6.41	5.61	8.67	33.68
pedestrian	2.79	2.66	2.76	2.72	2.78	13.71
truck	0.33	0.33	0.33	0.33	0.33	1.65
active_travel	3.83	4.97	3.78	3.67	3.78	20.03
Total	17.27	19.22	17.16	15.67	19.09	88.41

[1] “lb”

montevideo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.00	0.00	0.00	0.01	0.00	0.01
car	0.87	0.85	0.98	0.76	0.83	4.29
cycle	0.21	0.41	0.21	0.19	0.20	1.22
motorcycle	3.39	3.27	3.32	2.85	4.44	17.27
pedestrian	1.25	1.19	1.25	1.21	1.21	6.11
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	1.45	1.60	1.46	1.40	1.41	7.32
Total	7.20	7.35	7.25	6.45	8.12	36.37

[1] “osorno” [1] NA

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	6.53	6.35	6.84	5.92	6.11	31.75
cycle	0.20	0.33	0.19	0.18	0.18	1.08
motorcycle	0.99	0.94	0.95	0.96	3.64	7.48
pedestrian	4.16	3.96	4.10	4.14	3.85	20.21
truck	1.39	1.39	1.39	1.39	1.39	6.95
active_travel	4.35	4.29	4.29	4.32	4.04	21.29
Total	17.62	17.26	17.76	16.91	19.21	88.76

[1] “ub”

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	11.20	10.88	11.68	10.24	10.48	54.48
cycle	1.54	2.60	1.49	1.43	1.43	8.49
motorcycle	3.81	3.63	3.64	3.68	14.25	29.01
pedestrian	7.82	7.45	7.66	7.89	7.27	38.09
truck	2.95	2.95	2.95	2.95	2.95	14.75
active_travel	9.36	10.05	9.14	9.33	8.70	46.58
Total	36.68	37.56	36.56	35.52	45.08	191.40

[1] “lb”

osorno
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	3.95	3.84	4.16	3.56	3.70	19.21
cycle	0.03	0.04	0.02	0.02	0.02	0.13
motorcycle	0.26	0.24	0.25	0.25	0.93	1.93
pedestrian	2.27	2.16	2.25	2.23	2.10	11.01
truck	0.65	0.65	0.65	0.65	0.65	3.25
active_travel	2.29	2.20	2.27	2.25	2.12	11.13
Total	9.45	9.13	9.60	8.96	9.52	46.66

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.24	0.28	0.24	1.27
car	3.85	3.75	4.00	3.53	3.66	18.79
cycle	0.26	0.00	0.22	0.24	0.25	0.97
motorcycle	0.51	0.48	0.46	0.47	0.22	2.14
pedestrian	7.57	7.22	7.41	7.57	7.14	36.91
truck	0.90	0.90	0.90	0.90	0.90	4.50
active_travel	7.82	7.22	7.63	7.81	7.39	37.87
Total	21.17	19.82	20.86	20.80	19.80	102.45

[1] “ub”

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.94	1.91	1.80	2.14	1.83	9.62
car	6.75	6.59	7.00	6.21	6.42	32.97
cycle	1.11	0.02	0.94	1.06	1.07	4.20
motorcycle	2.29	2.12	2.06	2.10	1.52	10.09
pedestrian	12.70	12.13	12.35	12.85	12.02	62.05
truck	1.91	1.91	1.91	1.91	1.91	9.55
active_travel	13.82	12.15	13.29	13.91	13.09	66.26
Total	40.52	36.83	39.35	40.18	37.86	194.74

[1] “lb”

puerto_montt
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	2.26	2.20	2.36	2.07	2.15	11.04
cycle	0.06	0.00	0.05	0.06	0.06	0.23
motorcycle	0.13	0.12	0.12	0.12	0.03	0.52
pedestrian	4.85	4.62	4.78	4.81	4.57	23.63
truck	0.42	0.42	0.42	0.42	0.42	2.10
active_travel	4.91	4.62	4.83	4.87	4.63	23.86
Total	12.66	12.01	12.59	12.39	11.89	61.54

[1] “san_antonio” [1] NA

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	5.01	4.86	4.72	4.50	4.29	23.38
cycle	0.41	0.01	0.35	0.40	0.37	1.54
motorcycle	0.35	0.33	0.26	0.33	0.27	1.54
other	0.42	0.41	0.12	0.33	0.35	1.63
pedestrian	4.01	3.86	3.59	4.45	3.63	19.54
truck	2.12	2.12	2.12	2.12	2.12	10.60
active_travel	4.42	3.87	3.94	4.84	4.00	21.07
Total	16.74	15.46	15.10	16.97	15.03	79.30

[1] “ub”

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	30.01	29.01	27.59	26.78	24.42	137.81
cycle	5.97	0.15	4.91	5.67	5.29	21.99
motorcycle	4.21	3.90	3.08	3.89	3.50	18.58
other	5.20	5.09	1.82	3.96	3.89	19.96
pedestrian	27.00	25.94	23.90	29.54	23.92	130.30
truck	10.64	10.64	10.64	10.64	10.64	53.20
active_travel	32.97	26.09	28.81	35.21	29.21	152.29
Total	116.00	100.82	100.75	115.69	100.87	534.13

[1] “lb”

san_antonio
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	0.94	0.91	0.90	0.84	0.83	4.42
cycle	0.03	0.00	0.03	0.03	0.03	0.12
motorcycle	0.03	0.03	0.02	0.03	0.02	0.13
other	0.04	0.04	0.01	0.03	0.03	0.15
pedestrian	0.69	0.67	0.63	0.78	0.63	3.40
truck	0.44	0.44	0.44	0.44	0.44	2.20
active_travel	0.72	0.67	0.66	0.81	0.66	3.52
Total	2.89	2.76	2.69	2.96	2.64	13.94

[1] “santiago” [1] NA

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.69	0.65	0.68	0.13	2.29
car	1.84	10.06	10.83	8.30	1.76	32.79
cycle	0.73	2.64	1.65	1.53	0.70	7.25
motorcycle	1.11	522.11	510.96	450.84	2.05	1487.07
other	0.06	0.87	0.81	0.72	0.06	2.52
pedestrian	3.13	7.77	7.67	7.51	3.03	29.11
truck	0.19	2.47	2.39	2.16	0.19	7.40
active_travel	3.86	10.40	9.33	9.04	3.73	36.36
Total	11.06	557.01	544.29	480.78	11.65	1604.79

[1] “ub”

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	1.87	1.75	1.81	0.25	5.94
car	2.23	16.97	18.20	13.93	2.15	53.48
cycle	0.98	4.18	2.60	2.39	0.95	11.10
motorcycle	1.46	686.62	668.04	589.72	2.69	1948.53
other	0.13	2.01	1.87	1.68	0.12	5.81
pedestrian	3.78	11.65	11.38	11.11	3.69	41.61
truck	0.34	5.33	5.14	4.64	0.34	15.79
active_travel	4.76	15.83	13.97	13.49	4.65	52.70
Total	13.94	744.46	722.95	638.77	14.84	2134.96

[1] “lb”

santiago
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.07	0.27	0.25	0.26	0.07	0.92
car	1.53	6.11	6.61	5.09	1.47	20.81
cycle	0.55	1.71	1.08	1.00	0.52	4.86
motorcycle	0.86	405.60	397.30	350.54	1.58	1155.88
other	0.03	0.37	0.35	0.31	0.03	1.09
pedestrian	2.65	5.38	5.37	5.28	2.55	21.23
truck	0.11	1.15	1.11	1.01	0.11	3.49
active_travel	3.20	7.09	6.45	6.28	3.07	26.09
Total	9.00	427.68	418.52	369.77	9.40	1234.37

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.12	0.11	0.11	0.13	0.12	0.59
car	1.98	1.92	2.24	1.72	1.93	9.79
cycle	0.45	0.05	0.41	0.39	0.47	1.77
motorcycle	5.11	4.98	4.88	4.40	9.32	28.69
other	0.02	0.02	0.02	0.01	0.02	0.09
pedestrian	4.71	4.50	4.71	4.62	5.12	23.66
truck	0.18	0.17	0.18	0.17	0.18	0.88
active_travel	5.17	4.55	5.12	5.01	5.59	25.44
Total	17.74	16.30	17.67	16.45	22.75	90.91

[1] “ub”

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.18	0.17	0.17	0.20	0.18	0.90
car	2.20	2.13	2.48	1.90	2.15	10.86
cycle	0.56	0.07	0.50	0.49	0.58	2.20
motorcycle	5.54	5.39	5.29	4.77	10.09	31.08
other	0.04	0.03	0.04	0.03	0.03	0.17
pedestrian	5.09	4.86	5.08	4.99	5.55	25.57
truck	0.25	0.24	0.25	0.24	0.26	1.24
active_travel	5.65	4.93	5.58	5.47	6.13	27.76
Total	19.51	17.82	19.39	18.09	24.97	99.78

[1] “lb”

sao_paulo
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.08	0.07	0.07	0.09	0.08	0.39
car	1.80	1.74	2.03	1.55	1.75	8.87
cycle	0.37	0.04	0.33	0.32	0.38	1.44
motorcycle	4.72	4.61	4.51	4.06	8.62	26.52
other	0.01	0.01	0.01	0.01	0.01	0.05
pedestrian	4.38	4.18	4.38	4.29	4.73	21.96
truck	0.13	0.13	0.13	0.13	0.13	0.65
active_travel	4.75	4.22	4.71	4.61	5.11	23.40
Total	16.24	15.00	16.17	15.06	20.81	83.28

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	3.08	3.00	3.32	2.64	2.90	14.94
cycle	0.79	0.88	0.77	0.71	0.74	3.89
motorcycle	0.70	0.68	0.67	34.27	2.28	38.60
pedestrian	3.17	3.00	3.20	3.15	2.98	15.50
truck	0.18	0.18	0.18	0.18	0.18	0.90
active_travel	3.97	3.87	3.97	3.86	3.72	19.39
Total	11.89	11.61	12.11	44.81	12.80	93.22

[1] “ub”

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	9.98	9.72	10.74	8.58	9.38	48.40
cycle	2.57	2.92	2.49	2.32	2.41	12.71
motorcycle	2.92	2.82	2.78	156.51	9.78	174.81
pedestrian	9.99	9.45	9.97	10.03	9.41	48.85
truck	1.04	1.04	1.04	1.04	1.04	5.20
active_travel	12.56	12.37	12.46	12.36	11.82	61.57
Total	39.06	38.32	39.48	190.84	43.84	351.54

[1] “lb”

temuco_padrelascasas
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
car	1.01	0.98	1.08	0.86	0.95	4.88
cycle	0.26	0.28	0.25	0.23	0.24	1.26
motorcycle	0.18	0.17	0.17	7.75	0.56	8.83
pedestrian	1.12	1.06	1.14	1.10	1.05	5.47
truck	0.03	0.03	0.03	0.03	0.03	0.15
active_travel	1.38	1.34	1.39	1.33	1.29	6.73
Total	3.98	3.86	4.06	11.30	4.12	27.32

[1] “valdivia” [1] NA

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.35	0.34	0.31	0.42	0.32	1.74
car	2.61	2.54	2.70	2.33	2.46	12.64
cycle	0.77	1.05	0.73	0.74	0.73	4.02
motorcycle	0.55	0.51	0.53	0.54	1.67	3.80
pedestrian	1.79	1.72	1.68	1.92	1.72	8.83
active_travel	2.56	2.77	2.41	2.66	2.45	12.85
Total	8.63	8.93	8.36	8.61	9.35	43.88

[1] “ub”

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	2.76	2.65	2.39	3.43	2.53	13.76
car	15.64	15.20	16.08	13.97	14.70	75.59
cycle	5.92	8.92	5.55	5.64	5.59	31.62
motorcycle	5.05	4.62	4.86	4.88	16.41	35.82
pedestrian	9.21	8.84	8.68	9.86	8.81	45.40
active_travel	15.13	17.76	14.22	15.50	14.40	77.01
Total	53.71	57.99	51.78	53.28	62.44	279.20

[1] “lb”

valdivia
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.06	0.05	0.05	0.06	0.05	0.27
car	0.49	0.48	0.51	0.44	0.46	2.38
cycle	0.12	0.15	0.11	0.11	0.11	0.60
motorcycle	0.07	0.07	0.07	0.07	0.21	0.49
pedestrian	0.37	0.36	0.35	0.40	0.36	1.84
active_travel	0.49	0.51	0.46	0.51	0.47	2.44
Total	1.60	1.62	1.55	1.59	1.66	8.02

[1] “accra” [1] NA

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.90	0.88	0.85	0.96	0.75	4.34
car	1.95	1.89	2.17	1.50	1.56	9.07
cycle	0.72	0.00	0.68	0.52	0.60	2.52
motorcycle	2.02	2.00	1.81	1.41	0.08	7.32
pedestrian	9.84	9.34	10.06	8.86	8.71	46.81
truck	0.43	0.43	0.43	0.42	0.41	2.12
active_travel	10.56	9.34	10.74	9.38	9.31	49.33
Total	26.42	23.88	26.74	23.05	21.42	121.51

[1] “ub”

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.31	1.28	1.23	1.39	1.08	6.29
car	2.56	2.46	2.84	1.97	2.03	11.86
cycle	0.97	0.00	0.93	0.71	0.81	3.42
motorcycle	2.66	2.59	2.37	1.85	0.12	9.59
pedestrian	11.33	10.73	11.53	10.22	9.97	53.78
truck	0.71	0.71	0.71	0.69	0.64	3.46
active_travel	12.31	10.73	12.45	10.93	10.78	57.20
Total	31.85	28.50	32.06	27.76	25.43	145.60

[1] “lb”

accra
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.63	0.61	0.59	0.67	0.53	3.03
car	1.50	1.45	1.67	1.16	1.21	6.99
cycle	0.53	0.00	0.51	0.38	0.45	1.87
motorcycle	1.56	1.55	1.40	1.09	0.06	5.66
pedestrian	8.67	8.23	8.89	7.78	7.71	41.28
truck	0.27	0.27	0.27	0.27	0.26	1.34
active_travel	9.20	8.23	9.40	8.17	8.16	43.16
Total	22.36	20.34	22.73	19.52	18.38	103.33

[1] “bangalore” [1] NA

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.25	0.24	0.24	0.29	0.22	1.24
car	0.51	0.50	0.75	0.48	0.45	2.69
cycle	0.39	0.56	0.43	0.37	0.35	2.10
motorcycle	6.14	6.02	6.24	5.73	6.36	30.49
other	0.25	0.23	0.24	0.22	0.21	1.15
pedestrian	6.06	5.82	6.86	6.15	5.62	30.51
truck	0.20	0.20	0.20	0.20	0.20	1.00
active_travel	6.45	6.38	7.29	6.52	5.97	32.61
Total	20.25	19.95	22.25	19.96	19.38	101.79

[1] “ub”

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.56	0.54	0.54	0.65	0.49	2.78
car	0.91	0.90	1.35	0.85	0.81	4.82
cycle	0.64	0.91	0.70	0.61	0.57	3.43
motorcycle	7.54	7.42	7.67	7.04	7.80	37.47
other	0.56	0.54	0.55	0.49	0.49	2.63
pedestrian	7.51	7.28	8.45	7.63	6.96	37.83
truck	0.39	0.39	0.39	0.39	0.39	1.95
active_travel	8.15	8.20	9.16	8.24	7.54	41.29
Total	26.26	26.18	28.81	25.90	25.05	132.20

[1] “lb”

bangalore
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.11	0.11	0.11	0.13	0.10	0.56
car	0.29	0.28	0.42	0.27	0.26	1.52
cycle	0.24	0.34	0.27	0.23	0.22	1.30
motorcycle	5.05	4.94	5.13	4.71	5.23	25.06
other	0.12	0.11	0.12	0.10	0.10	0.55
pedestrian	4.96	4.76	5.63	5.03	4.60	24.98
truck	0.11	0.11	0.11	0.11	0.11	0.55
active_travel	5.20	5.10	5.90	5.26	4.81	26.27
Total	16.08	15.75	17.69	15.84	15.43	80.79

[1] “cape_town” [1] NA

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.76	0.74	0.73	0.82	0.68	3.73
car	7.03	6.85	7.56	6.25	6.55	34.24
cycle	0.29	0.00	0.25	0.26	0.26	1.06
motorcycle	1.78	1.72	1.50	1.68	0.06	6.74
other	0.08	0.07	0.06	0.07	0.07	0.35
pedestrian	12.39	11.95	12.49	11.70	11.60	60.13
truck	0.23	0.23	0.24	0.23	0.22	1.15
active_travel	12.68	11.95	12.74	11.96	11.86	61.19
Total	35.24	33.51	35.57	32.97	31.30	168.59

[1] “ub”

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.03	0.99	0.98	1.11	0.91	5.02
car	7.88	7.65	8.44	7.01	7.29	38.27
cycle	0.40	0.00	0.34	0.37	0.36	1.47
motorcycle	2.17	2.09	1.82	2.04	0.10	8.22
other	0.15	0.14	0.12	0.14	0.13	0.68
pedestrian	13.32	12.85	13.40	12.61	12.46	64.64
truck	0.39	0.38	0.39	0.38	0.36	1.90
active_travel	13.72	12.85	13.75	12.98	12.82	66.12
Total	39.06	36.95	39.24	36.64	34.43	186.32

[1] “lb”

cape_town
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.57	0.55	0.55	0.61	0.51	2.79
car	6.32	6.17	6.82	5.61	5.91	30.83
cycle	0.21	0.00	0.18	0.19	0.19	0.77
motorcycle	1.48	1.44	1.26	1.39	0.03	5.60
other	0.04	0.04	0.03	0.04	0.04	0.19
pedestrian	11.55	11.14	11.67	10.88	10.82	56.06
truck	0.16	0.15	0.16	0.15	0.14	0.76
active_travel	11.76	11.14	11.85	11.07	11.01	56.83
Total	32.09	30.63	32.52	29.94	28.65	153.83

[1] “delhi” [1] NA

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.06	0.06	0.06	0.07	0.06	0.31
car	1.05	1.03	1.17	0.96	0.96	5.17
cycle	0.86	1.10	0.85	0.79	0.82	4.42
motorcycle	6.43	6.24	6.31	5.77	7.41	32.16
pedestrian	7.37	7.12	7.42	7.19	7.01	36.11
truck	0.42	0.42	0.43	0.42	0.42	2.11
active_travel	8.23	8.22	8.27	7.98	7.83	40.53
Total	24.42	24.19	24.51	23.18	24.51	120.81

[1] “ub”

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.13	0.12	0.12	0.15	0.11	0.63
car	1.24	1.22	1.39	1.14	1.14	6.13
cycle	1.00	1.27	0.98	0.92	0.94	5.11
motorcycle	6.96	6.75	6.83	6.25	8.03	34.82
pedestrian	7.96	7.69	8.01	7.77	7.58	39.01
truck	0.55	0.55	0.56	0.54	0.55	2.75
active_travel	8.95	8.96	8.99	8.68	8.53	44.11
Total	26.79	26.56	26.88	25.45	26.88	132.56

[1] “lb”

delhi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.03	0.03	0.03	0.04	0.03	0.16
car	0.88	0.87	0.99	0.81	0.81	4.36
cycle	0.75	0.95	0.74	0.68	0.70	3.82
motorcycle	5.93	5.76	5.83	5.33	6.84	29.69
pedestrian	6.84	6.61	6.90	6.67	6.50	33.52
truck	0.32	0.32	0.33	0.32	0.32	1.61
active_travel	7.58	7.56	7.63	7.35	7.20	37.32
Total	22.33	22.10	22.45	21.20	22.40	110.48

[1] “vizag” [1] NA

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.25	0.24	0.30	0.23	1.28
car	0.63	0.60	1.70	0.50	0.55	3.98
cycle	1.24	1.73	1.68	1.01	1.26	6.92
motorcycle	9.15	8.88	9.31	7.43	11.83	46.60
other	0.16	0.15	0.16	0.11	0.10	0.68
pedestrian	9.06	8.57	12.40	8.21	9.45	47.69
truck	0.56	0.56	0.59	0.55	0.56	2.82
active_travel	10.30	10.30	14.07	9.21	10.71	54.59
Total	31.36	31.04	40.15	27.32	34.69	164.56

[1] “ub”

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.59	0.57	0.56	0.67	0.53	2.92
car	1.05	1.01	2.82	0.84	0.93	6.65
cycle	1.66	2.32	2.24	1.35	1.69	9.26
motorcycle	10.61	10.30	10.86	8.62	13.72	54.11
other	0.33	0.32	0.32	0.22	0.22	1.41
pedestrian	10.85	10.26	14.78	9.86	11.27	57.02
truck	0.94	0.94	1.03	0.92	0.95	4.78
active_travel	12.51	12.58	17.03	11.21	12.97	66.30
Total	38.54	38.30	49.64	33.69	42.28	202.45

[1] “lb”

vizag
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.14	0.13	0.13	0.16	0.12	0.68
car	0.38	0.36	1.02	0.30	0.33	2.39
cycle	0.92	1.29	1.25	0.75	0.94	5.15
motorcycle	7.89	7.66	7.99	6.42	10.21	40.17
other	0.08	0.07	0.07	0.05	0.05	0.32
pedestrian	7.65	7.23	10.48	6.91	8.00	40.27
truck	0.35	0.35	0.36	0.34	0.35	1.75
active_travel	8.57	8.52	11.73	7.66	8.94	45.42
Total	25.98	25.61	33.03	22.59	28.94	136.15

[1] “kisumu” [1] NA

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	3.28	3.16	3.25	3.63	2.83	16.15
car	0.86	0.83	1.17	0.73	0.77	4.36
cycle	0.69	0.94	0.73	0.65	0.64	3.65
motorcycle	13.12	12.52	13.10	11.41	14.45	64.60
other	1.21	1.19	0.75	0.70	0.91	4.76
pedestrian	6.56	6.28	6.98	6.33	6.06	32.21
truck	0.17	0.17	0.17	0.17	0.17	0.85
active_travel	7.25	7.22	7.71	6.98	6.70	35.86
Total	33.14	32.31	33.86	30.60	32.53	162.44

[1] “ub”

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	6.80	6.54	6.61	7.64	5.84	33.43
car	3.28	3.16	4.57	2.70	2.90	16.61
cycle	2.02	2.75	2.12	1.89	1.88	10.66
motorcycle	18.76	17.87	18.71	16.34	20.56	92.24
other	2.80	2.76	1.72	1.62	2.11	11.01
pedestrian	10.65	10.16	11.22	10.25	9.90	52.18
truck	1.28	1.28	1.28	1.28	1.28	6.40
active_travel	12.66	12.91	13.34	12.14	11.77	62.82
Total	58.25	57.43	59.57	53.86	56.24	285.35

[1] “lb”

kisumu
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.84	1.77	1.83	2.03	1.58	9.05
car	0.27	0.26	0.35	0.23	0.24	1.35
cycle	0.24	0.33	0.26	0.23	0.22	1.28
motorcycle	9.48	9.06	9.45	8.23	10.48	46.70
other	0.53	0.53	0.33	0.31	0.40	2.10
pedestrian	4.20	4.02	4.48	4.05	3.86	20.61
truck	0.02	0.02	0.02	0.02	0.02	0.10
active_travel	4.44	4.35	4.74	4.28	4.08	21.89
Total	21.02	20.34	21.46	19.38	20.88	103.08

[1] “nairobi” [1] NA

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.03	1.01	1.00	1.07	0.99	5.10
car	2.12	2.09	2.33	1.90	2.04	10.48
cycle	0.30	0.00	0.30	0.25	0.28	1.13
motorcycle	4.88	4.77	4.72	4.45	6.57	25.39
other	0.27	0.27	0.25	0.22	0.25	1.26
pedestrian	13.85	13.32	14.02	13.17	13.22	67.58
truck	0.15	0.15	0.15	0.15	0.15	0.75
active_travel	14.16	13.32	14.31	13.41	13.50	68.70
Total	36.76	34.93	37.08	34.62	37.00	180.39

[1] “ub”

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	1.70	1.65	1.64	1.76	1.63	8.38
car	3.05	2.98	3.35	2.73	2.93	15.04
cycle	0.58	0.00	0.57	0.47	0.53	2.15
motorcycle	6.24	6.01	6.02	5.67	8.41	32.35
other	0.55	0.53	0.50	0.45	0.51	2.54
pedestrian	16.36	15.69	16.51	15.55	15.72	79.83
truck	0.37	0.37	0.37	0.37	0.37	1.85
active_travel	16.94	15.69	17.07	16.02	16.26	81.98
Total	45.79	42.92	46.03	43.02	46.36	224.12

[1] “lb”

nairobi
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.64	0.63	0.62	0.66	0.62	3.17
car	1.50	1.49	1.65	1.35	1.45	7.44
cycle	0.16	0.00	0.15	0.13	0.15	0.59
motorcycle	3.97	3.89	3.84	3.63	5.34	20.67
other	0.14	0.14	0.13	0.11	0.13	0.65
pedestrian	11.83	11.38	11.99	11.24	11.23	57.67
truck	0.06	0.06	0.06	0.06	0.06	0.30
active_travel	11.99	11.38	12.15	11.37	11.38	58.27
Total	30.29	28.97	30.59	28.55	30.36	148.76

[1] “port_louis” [1] NA

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.89	0.84	0.82	0.93	0.88	4.36
cycle	2.08	9.94	101.47	93.20	98.88	305.57
motorcycle	17.21	15.90	15.89	15.08	21.84	85.92
pedestrian	11.27	10.46	11.05	10.66	11.54	54.98
truck	1.48	1.46	1.49	1.44	1.51	7.38
active_travel	13.35	20.39	112.51	103.86	110.42	360.53
Total	46.28	58.99	243.23	225.17	245.07	818.74

[1] “ub”

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	3.10	2.93	2.86	3.25	3.07	15.21
cycle	6.46	28.29	439.35	403.75	428.80	1306.65
motorcycle	29.35	27.11	27.09	25.77	37.17	146.49
pedestrian	20.12	18.69	19.68	19.14	20.51	98.14
truck	5.57	5.48	5.59	5.40	5.70	27.74
active_travel	26.58	46.98	459.03	422.88	449.31	1404.78
Total	91.18	129.48	953.60	880.19	944.56	2999.01

[1] “lb”

port_louis
stage_mode	bl	bi_sc	car_sc	bus_sc	mc_sc	Total
bus	0.26	0.24	0.24	0.27	0.26	1.27
cycle	0.71	3.63	23.91	22.00	23.23	73.48
motorcycle	10.21	9.45	9.43	8.94	12.99	51.02
pedestrian	6.36	5.89	6.24	5.98	6.54	31.01
truck	0.40	0.40	0.40	0.39	0.41	2.00
active_travel	7.07	9.52	30.16	27.98	29.77	104.50
Total	25.01	29.13	70.38	65.56	73.20	263.28

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	14.9022	4.1234694	15.1028	3.909975	16.0252	4.2164530	13.2423	3.9029482	14.3910	3.8480993
car	18.0977	9.6214286	18.2512	9.388470	16.7968	10.2214195	19.0780	8.5801892	18.5578	9.0711287
cycle	44.6070	0.2290816	0.0379	0.003735	46.6583	0.2208829	41.0389	0.1905355	42.2740	0.2109284
motorcycle	64.7751	2.2908163	65.4757	2.164581	67.8395	2.1968500	64.9563	2.1821991	67.8719	8.5163475
truck	9.2946	2.2908163	9.2777	2.286656	9.3272	2.2988720	9.2359	2.2763516	9.2559	2.2812950
bus	2.5208	1.3744898	2.5324	1.333963	2.5974	1.2398147	2.4343	1.5781475	2.5824	1.2910280
active_travel	15.4434	4.3525510	10.9465	3.913710	16.5666	4.4373359	13.6734	4.0934838	14.9018	4.0590277

[1] “ub”

antofagasta ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	27.8233	7.698800	28.2246	7.307078	29.5598	7.777607	25.2584	7.444499	26.9185	7.197874
car	42.8274	22.768649	43.1488	22.195805	39.8233	24.233849	45.1638	20.312040	43.8365	21.427465
cycle	345.8196	1.775974	0.2936	0.028965	360.2354	1.705372	320.5042	1.488037	327.9387	1.636267
motorcycle	207.0193	7.321384	209.3494	6.920944	216.1251	6.998792	208.1703	6.993452	226.0154	28.359676
truck	32.2501	7.948643	32.1209	7.916794	32.4774	8.004657	31.8362	7.846623	31.9536	7.875554
bus	8.3418	4.548449	8.3870	4.417903	8.5979	4.104054	8.0544	5.221698	8.5417	4.270219
active_travel	33.6178	9.474774	20.5186	7.336043	35.4043	9.482979	29.8371	8.932535	32.4326	8.834141

[1] “lb”

antofagasta lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	8.4589	2.3405993	8.5678	2.2181357	9.1634	2.4110188	7.4173	2.1861343	8.1596	2.1818412
car	8.0404	4.2745781	8.1166	4.1751983	7.4520	4.5347867	8.4843	3.8157648	8.2619	4.0384641
cycle	5.8051	0.0298126	0.0049	0.0004859	6.0926	0.0288428	5.3084	0.0246459	5.4987	0.0274360
motorcycle	20.5453	0.7265997	20.7612	0.6863514	21.5843	0.6989663	20.5444	0.6901878	20.8100	2.6111725
truck	2.9362	0.7236826	2.9340	0.7231354	2.9408	0.7248199	2.9280	0.7216601	2.9311	0.7224328
bus	0.7789	0.4247152	0.7819	0.4118475	0.8022	0.3829101	0.7515	0.4872185	0.7984	0.3991509
active_travel	8.4105	2.3704119	6.2054	2.2186216	9.1091	2.4398615	7.3846	2.2107801	8.1109	2.2092772

[1] NA

arica mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	39.5411	9.6214286	39.4621	9.1181045	41.5274	9.6030322	36.4776	9.3136471	37.6291	8.9336873
car	32.9255	9.3923469	33.4607	9.0412055	28.8694	9.9031473	34.4634	8.2655611	33.7022	8.7064837
cycle	27.8571	0.6872449	12.0233	1.1432083	29.8558	0.6806503	28.0049	0.6238351	27.5012	0.6225535
motorcycle	74.9652	2.0617347	76.4879	1.9633688	77.7190	1.9343575	74.5911	2.0082777	85.6482	7.7913484
truck	17.6724	2.5198980	17.6294	2.5137694	17.6961	2.5232705	17.6047	2.5102411	17.5824	2.5070598
bus	2.7888	0.4581633	2.8280	0.4404033	3.0590	0.3900987	2.4250	0.5819860	2.9160	0.4099939
active_travel	38.4655	10.3086735	31.4627	10.2613128	40.4800	10.2836824	35.7977	9.9374822	36.7475	9.5562408

[1] “ub”

arica ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	69.1065	16.815497	69.1173	15.970212	71.5709	16.550461	65.6103	16.751925	66.1156	15.696782
car	51.5782	14.713225	52.4381	14.168983	45.0632	15.458132	54.3849	13.043449	52.8145	13.643890
cycle	94.0594	2.320477	40.6183	3.862092	100.2798	2.286169	95.6232	2.130097	92.8917	2.102817
motorcycle	199.7142	5.492648	203.7736	5.230667	207.2187	5.157492	198.8562	5.353967	222.6314	20.252606
truck	42.4292	6.049946	42.1028	6.003411	42.5722	6.070340	41.9840	5.986462	41.7402	5.951701
bus	20.9304	3.438577	21.2225	3.304918	22.9784	2.930331	18.1719	4.361133	21.8827	3.076705
active_travel	71.4035	19.135974	60.8088	19.832304	74.1472	18.836631	68.0186	18.882021	68.4464	17.799599

[1] “lb”

arica lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	24.8979	6.0583274	24.8131	5.7332964	26.4117	6.1075995	22.4749	5.7384077	23.6412	5.6127534
car	21.5038	6.1341717	21.8428	5.9020108	18.8966	6.4821545	22.4016	5.3727095	21.9951	5.6821191
cycle	8.3053	0.2048943	3.5828	0.3406591	8.9425	0.2038695	8.2659	0.1841319	8.1957	0.1855293
motorcycle	28.4320	0.7819532	29.0069	0.7445777	29.4462	0.7328898	28.2836	0.7615035	33.2303	3.0229375
truck	8.7478	1.2473398	8.7421	1.2465308	8.7515	1.2478679	8.7377	1.2459086	8.7360	1.2456572
bus	0.3718	0.0610808	0.3771	0.0587192	0.4075	0.0519620	0.3238	0.0777046	0.3888	0.0546646
active_travel	23.3704	6.2632216	18.6236	6.0739555	24.8440	6.3114690	21.3347	5.9225396	22.2967	5.7982827

[1] NA

belo_horizonte mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	20.6943	94.0809950	20.9062	91.9001857	19.5562	103.4783061	21.6840	85.6481043	21.4620	90.6272053
pedestrian	50.6626	167.2877693	51.6744	161.9347157	52.2452	161.2734803	49.3992	171.3699067	53.6029	170.0871583
motorcycle	96.5781	131.2723884	97.2308	129.7533768	100.7679	123.1917509	102.6272	122.6432259	82.1336	164.5613637
cycle	108.3245	14.9941586	58.5689	44.1936286	114.8217	13.6144429	112.7722	14.1329233	112.8987	14.6923038
other	73.2054	51.7445473	73.6572	50.5435732	75.1779	46.7623267	75.6432	45.7802911	74.3443	49.1388963
truck	2.5416	7.2030762	2.5397	7.1975939	2.5340	7.1816784	2.5412	7.2020378	2.5661	7.2726352
bus	0.9644	5.1450544	0.9704	5.0621873	0.9974	4.7303817	0.9021	5.9611977	0.9975	4.9275109
rail	0.3140	0.1470016	0.3151	0.1449699	0.3210	0.1346731	0.3140	0.1470016	0.3189	0.1381436
active_travel	52.9825	182.2819279	53.0123	206.1283444	54.5600	174.8879232	51.6087	185.5028300	55.9390	184.7794621

[1] “ub”

belo_horizonte ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	23.5021	106.846028	23.8067	104.650205	22.1630	117.272052	24.6545	97.381014	24.4081	103.067746
pedestrian	56.7207	187.291506	58.2083	182.410239	58.4129	180.312289	55.2515	191.671984	60.0587	190.571837
motorcycle	109.6821	149.083823	111.0465	148.190325	114.3510	139.797409	116.5058	139.228692	93.2122	186.758400
cycle	147.7474	20.451036	79.5141	59.997966	156.6262	18.571212	153.8324	19.278701	154.0573	20.048573
other	84.3171	59.598771	84.8653	58.234565	86.6369	53.890033	87.2079	52.779407	85.7252	56.661284
truck	3.9326	11.145191	3.9336	11.148198	3.9186	11.105549	3.9315	11.142154	3.9756	11.267238
bus	1.6026	8.550326	1.6153	8.426598	1.6635	7.889554	1.4855	9.816414	1.6689	8.243606
rail	2.7250	1.275719	2.7345	1.258087	2.7853	1.168729	2.7250	1.275719	2.7677	1.198847
active_travel	60.3830	207.742542	62.3428	242.408205	62.0459	198.883502	58.6886	210.950685	63.7619	210.620410

[1] “lb”

belo_horizonte lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	18.2957	83.176765	18.4535	81.1184051	17.3214	91.6536833	19.1487	75.634052	18.9476	80.0097039
pedestrian	45.4736	150.153804	46.2099	144.8103030	46.9426	144.9050759	44.3752	153.941356	48.0586	152.4945879
motorcycle	85.4920	116.203748	85.7728	114.4628321	89.2462	109.1060721	90.8673	108.589694	72.7365	145.7336664
cycle	79.5026	11.004672	43.1718	32.5755998	84.2588	9.9905914	82.7550	10.371084	82.8185	10.7777597
other	64.1144	45.318685	64.5008	44.2604188	65.8179	40.9402088	66.2083	40.070178	65.0641	43.0050384
truck	1.6575	4.697555	1.6553	4.6913163	1.6534	4.6858978	1.6574	4.697258	1.6715	4.7371282
bus	0.5971	3.185770	0.6003	3.1315228	0.6158	2.9205928	0.5625	3.717311	0.6144	3.0349733
rail	0.0362	0.016939	0.0363	0.0167049	0.0370	0.0155184	0.0362	0.016939	0.0367	0.0159183
active_travel	46.8427	161.158476	45.6203	177.3859027	48.3230	154.8956673	45.7134	164.312439	49.4281	163.2723476

[1] NA

bogota mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.8238	20.707117	6.8736	20.310402	6.4176	22.947492	7.1704	18.359276	7.0697	19.931903
pedestrian	40.0776	166.992877	41.0922	161.479798	41.8320	162.653275	38.7015	165.234426	42.5220	167.439492
cycle	100.8657	63.011979	63.4604	72.784926	105.8248	60.974468	105.5671	57.601996	108.4860	62.552710
motorcycle	142.6302	195.270338	143.4242	192.865933	148.2239	190.181741	152.5183	173.978538	114.5253	219.933604
truck	0.7701	1.558600	0.7690	1.555071	0.7707	1.559888	0.7624	1.543094	0.7777	1.573941
bus	1.0396	7.347687	1.0453	7.212289	1.0644	6.956853	0.9800	8.189957	1.0675	7.055780
active_travel	48.0032	230.004856	46.1457	234.264724	50.0910	223.627743	46.2787	222.836422	50.9474	229.992202

[1] “ub”

bogota ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	10.6356	32.274048	10.7166	31.666089	9.9708	35.652957	11.1725	28.606508	11.0162	31.058234
pedestrian	49.9502	208.129551	51.2907	201.556662	52.0954	202.559684	48.2280	205.907275	53.0003	208.699914
cycle	129.4484	80.867885	82.6518	94.796285	135.6606	78.165332	135.3820	73.870265	139.0662	80.185162
motorcycle	180.5619	247.201359	181.8640	244.556866	187.3364	240.365937	192.9241	220.069662	146.2415	280.841030
truck	2.3813	4.819507	2.3771	4.806912	2.3839	4.824712	2.3493	4.754758	2.4132	4.883698
bus	1.8522	13.091200	1.8633	12.856539	1.8995	12.415052	1.7429	14.565036	1.9081	12.611020
active_travel	60.3152	288.997436	58.3759	296.352946	62.8804	280.725016	58.1042	279.777540	63.9932	288.885076

[1] “lb”

bogota lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	4.4242	13.425342	4.4553	13.1647020	4.1737	14.9240519	4.6494	11.9045272	4.5835	12.9225226
pedestrian	32.3196	134.667491	33.1005	130.0748810	33.7569	131.2550178	31.2171	133.2801341	34.2801	134.9851834
cycle	79.1585	49.451236	49.1815	56.4079277	83.1307	47.8985085	82.9019	45.2348500	85.2073	49.1302652
motorcycle	113.7042	155.668596	114.1912	153.5556194	118.3299	151.8256906	121.6593	138.7774734	90.6332	174.0512338
truck	0.2604	0.527085	0.2602	0.5260765	0.2606	0.5274028	0.2586	0.5233708	0.2623	0.5307418
bus	0.5949	4.204383	0.5979	4.1253161	0.6082	3.9750430	0.5616	4.6929375	0.6091	4.0259821
active_travel	38.4265	184.118727	36.7336	186.4828088	40.1291	179.1535263	37.0740	178.5149841	40.7848	184.1154486

[1] NA

buenos_aires mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	124.7651	251.388194	126.4145	241.930763	132.7805	250.539189	2405.8010	5.192712e+03	148.7793	284.792901
car	47.2257	85.488915	47.5529	83.344902	43.4694	99.887405	4405.9022	6.175988e+03	50.0498	83.327183
cycle	74.0978	15.235648	44.8708	24.568185	79.0695	14.920803	1261.6318	2.310445e+02	85.9394	16.665434
motorcycle	674.2159	207.374100	676.0054	203.979308	717.7927	200.003328	745968.9940	1.668258e+05	477.9648	333.222226
truck	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275	2.5026	2.539275e+00	2.5026	2.539275
bus	1.1485	3.385700	1.1575	3.281770	1.1723	3.119455	1.0947	4.101711e+00	1.1678	3.167886
active_travel	120.0734	266.623843	108.2747	266.498948	127.8972	265.459992	2316.3159	5.423756e+03	142.9988	301.458335

[1] “ub”

buenos_aires ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	156.4148	315.158823	159.9790	306.166256	165.8930	313.018136	3065.6860	6.617016e+03	187.1936	358.325357
car	64.9130	117.506828	65.5011	114.802439	59.4429	136.592667	7514.7141	1.053378e+04	69.4697	115.659084
cycle	157.6950	32.424520	99.7033	54.590776	167.1786	31.547441	2387.9281	4.373047e+02	180.1910	34.942794
motorcycle	885.8008	272.453022	894.5261	269.916229	941.0170	262.201797	980822.9304	2.193477e+05	628.2826	438.019127
truck	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765	9.0588	9.191765e+00	9.0588	9.191765
bus	3.4993	10.315435	3.5266	9.998786	3.5716	9.504250	3.3354	1.249695e+01	3.5579	9.651809
active_travel	156.5333	347.583343	146.5704	360.757033	166.0099	344.565577	3012.6788	7.054321e+03	186.5494	393.268152

[1] “lb”

buenos_aires lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	100.7854	203.0717030	101.7115	194.6544553	107.5389	202.9115899	1889.1771	4.077624e+03	119.5050	228.7560978
car	34.9546	63.2756382	35.1674	61.6370761	32.3077	74.2392689	2585.2119	3.623829e+03	36.7323	61.1550137
cycle	36.3900	7.4823368	21.2894	11.6566448	39.0336	7.3658425	668.7775	1.224742e+02	42.6468	8.2701055
motorcycle	519.6842	159.8435344	519.3661	156.7146400	554.1613	154.4096231	577116.9450	1.290643e+05	367.8967	256.4861396
truck	0.6913	0.7014883	0.6913	0.7014883	0.6913	0.7014883	0.6913	7.014883e-01	0.6913	0.7014883
bus	0.3770	1.1112437	0.3799	1.0771323	0.3848	1.0238577	0.3593	1.346251e+00	0.3833	1.0397537
active_travel	94.8225	210.5540398	83.8212	206.3111000	101.3106	210.2774324	1793.7300	4.200098e+03	112.4350	237.0262034

[1] NA

cali mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	67.8571	87.9495819	68.8041	84.7100550	71.1654	86.4824238	64.4596	85.0163179	70.9691	86.1742257
motorcycle	70.6241	153.3551254	71.3487	150.1169518	74.0176	149.7437519	74.4668	140.8303159	67.1996	160.2050256
cycle	102.3048	28.9454320	67.0055	37.9786780	110.0047	28.0785076	105.0945	26.5248226	107.4305	28.3938865
other	66.7710	0.2783216	66.2454	0.2567872	67.3299	0.2228988	65.1038	0.2036480	66.9637	0.2546832
car	8.3144	11.1328585	8.3408	10.9090439	7.4259	12.6067681	8.5681	10.2091365	8.5453	10.5248432
bus	0.1427	0.2783215	0.1432	0.2742914	0.1450	0.2613339	0.1321	0.3791763	0.1455	0.2576454
active_travel	74.0295	116.8950139	68.2371	122.6887330	77.9072	114.5609314	70.9866	111.5411406	77.4868	114.5681122

[1] “ub”

cali ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	80.7711	104.687502	82.2024	101.205724	84.6449	102.863107	76.9776	101.526450	84.3224	102.388439
motorcycle	84.2433	182.928232	85.3253	179.523537	88.0495	178.131407	88.8058	167.947981	80.0217	190.773152
cycle	135.4810	38.332108	89.9607	50.989668	145.3236	37.093577	139.4927	35.206582	141.9081	37.506332
other	498.0099	2.075855	494.3039	1.916070	501.8461	1.661387	485.4186	1.518414	499.2789	1.898908
car	13.0398	17.460225	13.0897	17.120295	11.5856	19.668524	13.4498	16.025846	13.4319	16.543505
bus	1.0543	2.056513	1.0582	2.026735	1.0711	1.930992	0.9759	2.801728	1.0749	1.903738
active_travel	90.5741	143.019610	84.6481	152.195392	95.1776	139.956684	87.0191	136.733032	94.6162	139.894771

[1] “lb”

cali lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	57.3902	74.3833984	58.0611	71.4834831	60.2027	73.1601363	54.3425	71.6728543	60.1103	72.9889091
motorcycle	60.1102	130.5250324	60.6171	127.5376527	63.0481	127.5514783	63.2829	119.6795073	57.2495	136.4839289
cycle	79.2647	22.4266311	51.5548	29.2212374	85.3254	21.7791412	81.2293	20.5014728	83.3765	22.0364192
other	8.9674	0.0373787	8.8927	0.0344708	9.0458	0.0299466	8.7437	0.0273509	8.9951	0.0342112
car	5.4038	7.2357022	5.4188	7.0872985	4.8460	8.2269466	5.5624	6.6277976	5.5420	6.8258109
bus	0.0193	0.0376671	0.0194	0.0371217	0.0196	0.0353680	0.0179	0.0513164	0.0197	0.0348689
active_travel	61.3097	96.8100295	56.0100	100.7047206	64.5635	94.9392775	58.6612	92.1743271	64.2693	95.0253283

[1] NA

copiapo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	100.3872	1.1454082	31.1757	2.3938207	104.4730	1.1081343	101.2143	1.1179017	113.3262	1.2496083
pedestrian	12.7943	2.5198980	12.8331	2.3998809	13.0384	2.4637420	12.1662	2.5724394	14.3882	2.7492122
car	14.1296	5.0397959	14.2037	4.8847684	12.6781	5.2300341	14.7459	4.4923459	14.5502	4.7000751
motorcycle	97.5116	2.5198980	99.9299	2.3925397	101.4089	2.3237236	98.6369	2.4931990	98.8171	9.1074228
truck	5.3253	0.9163265	5.2955	0.9111930	5.3104	0.9137501	5.3245	0.9161767	5.5320	0.9518925
bus	3.8709	0.6872449	3.9016	0.6658323	4.0123	0.5953498	3.5991	0.9195570	3.9551	0.6305341
active_travel	17.5909	3.6653061	18.1722	4.7937017	17.8981	3.5718762	16.5869	3.6903411	19.7863	3.9988205

[1] “ub”

copiapo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	321.3458	3.666524	99.6298	7.650046	329.6510	3.496576	329.6659	3.641127	453.4548	5.000087
pedestrian	33.0443	6.508202	33.0803	6.186281	33.0911	6.252910	32.1069	6.788716	48.1869	9.207265
car	26.3137	9.385677	26.4590	9.099445	23.4680	9.681117	27.8007	8.469462	28.4049	9.175517
motorcycle	260.3122	6.726995	266.5292	6.381288	270.1139	6.189497	264.4768	6.685059	264.4218	24.370290
truck	24.3141	4.183700	24.0366	4.135953	24.0950	4.146006	24.3790	4.194861	27.8931	4.799535
bus	12.2825	2.180678	12.3801	2.112734	12.7313	1.889088	11.4201	2.917821	12.5498	2.000731
active_travel	48.8315	10.174726	52.4516	13.836327	48.8531	9.749486	46.8787	10.429844	70.2984	14.207351

[1] “lb”

copiapo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
cycle	34.1573	0.3897312	10.6096	0.8146563	35.8965	0.3807508	33.8213	0.3735526	34.7560	0.3832427
pedestrian	5.5628	1.0956106	5.5800	1.0435015	5.7349	1.0836686	5.1724	1.0936584	5.5950	1.0690621
car	8.7969	3.1377064	8.8414	3.0406117	7.9019	3.2597319	9.1566	2.7895630	9.0085	2.9099777
motorcycle	37.0072	0.9563418	37.9587	0.9088146	38.5542	0.8834466	37.3245	0.9434344	37.3062	3.4383057
truck	1.4179	0.2439804	1.4145	0.2433903	1.4171	0.2438346	1.4167	0.2437692	1.4279	0.2456999
bus	1.2199	0.2165866	1.2296	0.2098383	1.2645	0.1876256	1.1343	0.2898001	1.2465	0.1987140
active_travel	7.1286	1.4853417	7.0440	1.8581578	7.3380	1.4644194	6.5946	1.4672110	7.1861	1.4523048

[1] NA

coquimbo_laserena mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	18.7582	8.0178571	18.9504	7.6137904	19.8819	8.0015409	17.2357	7.6800792	18.0783	7.3806204
car	20.5354	13.2867347	20.7332	12.9245394	18.6821	13.8270577	21.8675	12.0321844	21.2263	12.3711994
cycle	71.8376	1.3744898	0.0483	0.0053904	73.6604	1.2372965	67.5348	1.2243763	67.5080	1.2258616
motorcycle	141.0062	5.7270408	142.6737	5.6054900	147.9602	5.4277382	137.2960	5.1537762	135.0080	22.0099966
truck	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265	3.1307	0.9163265
bus	2.8354	1.3744898	2.8474	1.3451147	2.9630	1.2588196	2.6075	1.6201329	2.8749	1.2910482
active_travel	21.0324	9.3923469	14.8403	7.6191808	22.0365	9.2388375	19.2022	8.9044556	20.1833	8.6064820

[1] “ub”

coquimbo_laserena ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	29.0271	12.407113	29.3511	11.7925580	30.5668	12.301757	27.0878	12.070040	28.0327	11.444563
car	30.3941	19.665442	30.6934	19.1334857	27.5797	20.412418	32.5542	17.912360	31.4302	18.318235
cycle	171.2329	3.276250	0.1152	0.0128552	174.9369	2.938467	162.3955	2.944157	161.0977	2.925333
motorcycle	270.4004	10.982453	273.6123	10.7499173	283.2450	10.390498	263.8221	9.903275	262.0843	42.726917
truck	8.5100	2.490834	8.5100	2.4908337	8.5100	2.490834	8.5100	2.490834	8.5100	2.490834
bus	9.2003	4.459971	9.2364	4.3633351	9.6689	4.107806	8.3655	5.197828	9.3242	4.187279
active_travel	35.1200	15.683363	22.9940	11.8054132	36.3510	15.240224	32.3777	15.014196	33.6992	14.369896

[1] “lb”

coquimbo_laserena lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	12.4049	5.3022373	12.5230	5.0314542	13.2124	5.3173880	11.2631	5.0187371	11.9359	4.8729367
car	14.1166	9.1336697	14.2489	8.8824062	12.8657	9.5221907	14.9706	8.2372957	14.5831	8.4993364
cycle	30.3821	0.5813097	0.0204	0.0022788	31.2493	0.5249044	28.3492	0.5139581	28.5226	0.5179341
motorcycle	73.8542	2.9996249	74.7229	2.9357790	77.6203	2.8474071	71.7869	2.6947160	69.8251	11.3834069
truck	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977	1.1517	0.3370977
bus	0.9153	0.4436996	0.9194	0.4343303	0.9518	0.4043767	0.8499	0.5280656	0.9284	0.4169307
active_travel	13.1751	5.8835470	9.8045	5.0337330	13.9350	5.8422924	11.9311	5.5326953	12.6423	5.3908708

[1] NA

gran_valparaiso mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	10.1909	14.6612245	10.1672	14.0966491	9.2142	15.6334538	10.9972	13.0281049	10.2639	13.5220906
pedestrian	18.4212	18.5556122	18.4498	17.6195310	19.5779	18.5239282	17.1993	18.4041246	17.7538	17.1938581
cycle	12.5236	0.4581633	0.0061	0.0015311	12.8696	0.4293427	12.0818	0.3768003	11.8054	0.3981481
other	29.4981	0.2290816	28.6090	0.2164857	29.5648	0.2060929	28.7695	0.2165977	27.9197	0.1983279
motorcycle	221.0877	5.9561224	216.9689	5.7042785	221.9272	4.9215843	218.3710	4.4621407	6.1095	1.3932996
truck	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796	2.7677	2.7489796
bus	0.2237	0.4581633	0.2232	0.4386058	0.2363	0.4236069	0.2023	0.5130738	0.2232	0.4223606
active_travel	18.2145	19.0137755	14.6247	17.6210621	19.3494	18.9532709	17.0544	18.7809250	17.5536	17.5920062

[1] “ub”

gran_valparaiso ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	16.7004	24.026290	16.1210	22.3513488	14.8401	25.178785	17.8660	21.165486	16.0581	21.155528
pedestrian	27.2334	27.432097	27.1246	25.9038946	28.6493	27.107021	25.6002	27.393420	26.0932	25.270246
cycle	52.8549	1.933640	0.0259	0.0064624	54.1938	1.807961	51.0304	1.591507	49.6475	1.674413
other	238.0693	1.848842	226.8532	1.7166116	236.7719	1.650512	230.4694	1.735143	219.7595	1.561063
motorcycle	433.6727	11.683180	412.9766	10.8574713	432.7169	9.596178	426.7662	8.720436	11.5276	2.628901
truck	4.9302	4.896791	4.9302	4.8967908	4.9302	4.896791	4.9302	4.896791	4.9302	4.896791
bus	1.7402	3.563515	1.7160	3.3719459	1.8305	3.281090	1.5630	3.965047	1.7079	3.231345
active_travel	28.1313	29.365738	21.5045	25.9103570	29.5193	28.914982	26.3204	28.984927	26.8858	26.944659

[1] “lb”

gran_valparaiso lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
car	6.8269	9.8215939	6.8612	9.5128756	6.2170	10.5481079	7.3522	8.7099719	6.9487	9.1545294
pedestrian	13.3430	13.4403795	13.3760	12.7740595	14.2605	13.4928114	12.3671	13.2333844	12.8677	12.4618356
cycle	2.9805	0.1090379	0.0015	0.0003644	3.0675	0.1023358	2.8713	0.0895495	2.8127	0.0948618
other	3.7515	0.0291344	3.6697	0.0277691	3.7768	0.0263274	3.6716	0.0276422	3.5944	0.0255331
motorcycle	116.8176	3.1470764	115.4963	3.0364868	117.6008	2.6079821	115.4166	2.3583956	3.2450	0.7400223
truck	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329	1.5538	1.5432329
bus	0.0293	0.0599443	0.0294	0.0576994	0.0310	0.0555364	0.0266	0.0673613	0.0294	0.0556949
active_travel	12.9798	13.5494174	10.6022	12.7744239	13.8793	13.5951472	12.0982	13.3229338	12.5293	12.5566974

[1] NA

iquique_altohospicio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	13.2054	3.6653061	13.2017	3.4699659	13.6120	3.6014948	12.3241	3.6749283	14.3295	3.8482684
car	14.7093	7.1015306	14.6517	6.8092243	13.3352	7.3732555	15.3236	6.4170183	15.3227	6.6912833
cycle	108.1483	0.6872449	0.1061	0.0097963	108.7699	0.5867811	105.0103	0.6366409	115.3591	0.7124349
motorcycle	78.6938	2.5198980	78.2970	2.3703008	81.5461	2.3205843	78.9728	2.4034420	88.0291	10.4571972
truck	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082	5.0388	1.1454082
bus	2.4620	0.6872449	2.3490	0.6329962	2.6538	0.6292849	2.1098	0.7751428	2.7006	0.6830167
active_travel	15.3305	4.3525510	9.7970	3.4797621	15.5135	4.1882759	14.1710	4.3115692	16.6006	4.5607033

[1] “ub”

iquique_altohospicio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	30.9489	8.590200	30.4558	8.0050495	31.2296	8.262779	29.3960	8.765599	42.3354	11.369420
car	26.3145	12.704425	25.1398	11.6834228	23.5687	13.031563	27.5838	11.551149	28.8789	12.611186
cycle	411.9412	2.617742	0.4041	0.0373146	409.8006	2.210752	404.5943	2.452914	519.9079	3.210847
motorcycle	211.2396	6.764220	199.0919	6.0271466	217.4494	6.188024	212.0888	6.454667	224.7793	26.702109
truck	12.3247	2.801593	12.3247	2.8015931	12.3247	2.801593	12.3247	2.801593	12.3247	2.801593
bus	10.0198	2.796899	8.7961	2.3703509	10.6359	2.522008	8.5504	3.141399	11.9405	3.019863
active_travel	39.4764	11.207942	22.6426	8.0423641	38.7942	10.473531	36.8723	11.218513	53.0709	14.580267

[1] “lb”

iquique_altohospicio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	6.4248	1.7832742	6.4471	1.6945656	6.7045	1.7738814	5.8866	1.7553385	6.3764	1.7124249
car	9.1577	4.4212409	9.2011	4.2761196	8.3326	4.6072240	9.5043	3.9800732	9.4298	4.1179233
cycle	29.9752	0.1904820	0.0294	0.0027141	30.3755	0.1638664	28.7676	0.1744078	29.6069	0.1828465
motorcycle	31.1178	0.9964402	31.4899	0.9532998	32.2819	0.9186558	31.2014	0.9495758	36.0746	4.2853948
truck	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906	2.0601	0.4682906
bus	0.6643	0.1854275	0.6570	0.1770481	0.7206	0.1708647	0.5710	0.2097934	0.7023	0.1776309
active_travel	6.9519	1.9737562	4.7785	1.6972797	7.1775	1.9377479	6.3426	1.9297463	6.8986	1.8952714

[1] NA

medellin mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	60.1019	75.1467947	61.1339	71.8034933	65.1580	76.9851469	57.6988	75.5176762	62.9850	74.4272959
cycle	203.4152	10.0195726	4.1899	1.0357685	210.5299	9.1674182	201.2712	8.1317271	205.6452	9.3915693
motorcycle	101.4250	125.8013007	100.8036	123.1633615	106.6076	123.0500148	106.2704	116.9111908	95.4015	136.9000480
car	6.8183	4.4531434	6.8517	4.3416586	5.8136	5.6550083	7.1250	3.9577588	6.9629	4.2176592
auto_rickshaw	195.5191	0.1855476	192.0037	0.1822115	200.5883	0.1537509	193.8470	0.1344329	196.4081	0.1792224
truck	1.7258	0.7421906	1.7258	0.7421906	1.7258	0.7421906	1.7258	0.7421906	1.7258	0.7421906
bus	2.2042	2.7832146	2.2172	2.7033595	2.2551	2.6428981	2.0373	3.5134829	2.2512	2.6201729
active_travel	65.5337	85.1663673	51.2326	72.8392618	70.3253	86.1525651	61.9980	83.6494032	68.2933	83.8188652

[1] “ub”

medellin ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	70.4360	88.067809	71.5784	84.070867	76.3059	90.156527	67.7069	88.6165922	73.7739	87.176231
cycle	302.0168	14.876366	6.7979	1.680507	312.0685	13.588866	299.1020	12.0842748	305.1414	13.935439
motorcycle	117.2555	145.436475	115.6526	141.306105	123.2216	142.226426	122.8236	135.1218993	110.1278	158.032145
car	12.0209	7.851002	12.0524	7.637168	10.1456	9.868817	12.6273	7.0141447	12.3197	7.462440
auto_rickshaw	1454.5024	1.380323	1425.6138	1.352907	1491.7111	1.143396	1441.6177	0.9997619	1460.9411	1.333109
truck	Inf	Inf	Inf	Inf	Inf	Inf	Inf	Inf	Inf	Inf
bus	4.5472	5.741698	4.5649	5.565852	4.6885	5.494822	4.1319	7.1259024	4.6666	5.431337
active_travel	79.2134	102.944176	60.3145	85.751374	84.6861	103.745394	74.6359	100.7008671	82.3830	101.111670

[1] “lb”

medellin lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	51.3250	64.1728170	52.2296	61.3450883	55.6779	65.7841688	49.2055	64.4014289	53.8141	63.5903675
cycle	137.5424	6.7748926	2.5828	0.6384904	142.5781	6.2084909	135.9684	5.4933755	139.1336	6.3540660
motorcycle	88.1473	109.3324032	87.9275	107.4311328	92.6212	106.9064632	92.3226	101.5668276	83.0095	119.1177119
car	4.0456	2.6422375	4.0697	2.5787996	3.4733	3.3785936	4.2119	2.3396171	4.1210	2.4962482
auto_rickshaw	26.2909	0.0249500	25.8594	0.0245406	26.9804	0.0206805	26.0727	0.0180814	26.4129	0.0241018
truck	0.6349	0.2730367	0.6349	0.2730367	0.6349	0.2730367	0.6349	0.2730367	0.6349	0.2730367
bus	1.1678	1.4745637	1.1756	1.4333513	1.1897	1.3942577	1.0891	1.8782950	1.1896	1.3845602
active_travel	54.5928	70.9477097	43.5971	61.9835787	58.7667	71.9926597	51.8036	69.8948044	56.9888	69.9444335

[1] NA

mexico_city mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	75.5810	502.387887	76.0867	479.472710	78.7424	491.341023	71.5748	499.557652	62.8530	398.919402
cycle	121.7899	32.285115	1.0441	1.499543	122.4573	29.416389	119.0692	28.212218	102.6271	25.419615
car	35.9935	288.203709	35.8747	280.530502	33.3276	311.692454	36.7684	247.142843	30.1849	228.040887
motorcycle	178.1959	102.367438	171.5665	96.441212	178.6445	93.814160	177.6689	84.875480	1.9534	3.653907
other	1396.2134	48.821393	1355.0313	45.551409	1324.5978	43.643576	1250.8786	37.689910	537.7981	18.127962
truck	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302	2.0243	9.449302
bus	0.9930	11.024186	0.9974	10.737683	1.0078	10.268095	0.9447	12.656547	0.9553	9.962248
active_travel	77.3532	534.673002	62.1586	480.972253	80.3630	520.757411	73.1342	527.769871	64.3469	424.339017

[1] “ub”

mexico_city ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	89.0699	592.04833	89.3919	563.317654	92.6043	577.83683	84.3167	588.49001	73.6151	467.225051
cycle	202.3824	53.64926	2.4590	3.531527	203.2683	48.82860	198.2702	46.97810	173.0597	42.864972
car	42.8914	343.43584	42.5927	333.063896	39.6090	370.43783	43.7643	294.16633	35.3655	267.179326
motorcycle	248.7259	142.88453	235.0393	132.120641	248.8345	130.67405	247.5509	118.25936	2.8795	5.386208
other	2116.9644	74.02389	2042.5601	68.663721	2017.7793	66.48290	1917.1999	57.76667	945.9146	31.884654
truck	3.9064	18.23497	3.9064	18.234965	3.9064	18.23497	3.9064	18.23497	3.9064	18.234965
bus	2.4298	26.97475	2.4262	26.120050	2.4486	24.94653	2.2255	29.81662	1.9702	20.546078
active_travel	93.4155	645.69758	73.2569	566.849180	96.7066	626.66544	88.0582	635.46811	77.3502	510.090023

[1] “lb”

mexico_city lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	64.6748	429.894012	65.2124	410.9466979	67.4905	421.130552	61.2824	427.721747	54.1842	343.899763
cycle	75.6373	20.050588	0.4444	0.6382394	76.1218	18.285791	73.8452	17.496864	63.1054	15.630507
car	30.3798	243.254138	30.3418	237.2647026	28.1960	263.699115	31.0697	208.838178	25.8988	195.660689
motorcycle	129.1764	74.207402	125.8781	70.7587710	129.6784	68.099864	128.9447	61.599133	1.3261	2.480437
other	963.4377	33.688525	939.1519	31.5709992	911.3422	30.027404	857.3295	25.831982	333.9014	11.255066
truck	1.0490	4.896599	1.0490	4.8965987	1.0490	4.896599	1.0490	4.896599	1.0490	4.896599
bus	0.4975	5.523555	0.5005	5.3876574	0.5059	5.154420	0.4780	6.404054	0.4987	5.200303
active_travel	65.0952	449.944601	53.1913	411.5849373	67.8105	439.416343	61.6949	445.218611	54.5193	359.530270

[1] NA

montevideo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	118.9635	17.9396615	120.8471	17.1068704	130.2006	17.9110196	107.8284	17.4557778	122.2803	17.5958413
car	96.8602	13.8778514	97.2724	13.5002057	89.9467	15.4004798	103.6091	12.0686398	102.3295	13.1984663
cycle	589.5159	4.4002943	286.8443	9.2212700	637.2487	4.3379114	592.6623	4.0019520	615.2934	4.2333725
motorcycle	1302.8489	45.3568801	1309.5538	43.8051178	1377.7979	44.3354204	1402.1288	38.3013013	1037.8991	59.5658082
truck	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525	12.0134	1.0154525
bus	1.4192	0.3384842	1.4300	0.3283884	1.4568	0.3048697	1.3641	0.3966338	1.4438	0.3160198
active_travel	141.1563	22.3399558	151.5679	26.3281404	154.1082	22.2489310	127.2419	21.4577297	144.7773	21.8292138

[1] “ub”

montevideo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	179.6560	27.092074	182.3439	25.812230	195.0370	26.830240	163.2045	26.420326	187.3513	26.959407
car	162.5503	23.289734	162.7818	22.592092	149.7835	25.645592	174.2836	20.300986	172.5318	22.253166
cycle	1353.0100	10.099205	698.5094	22.455188	1447.7895	9.855465	1363.6901	9.208317	1416.7049	9.747284
motorcycle	1845.7376	64.256796	1849.3605	61.861874	1936.2161	62.304463	1996.2039	54.529373	1467.1670	84.201813
truck	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105	38.1195	3.222105
bus	10.4867	2.501054	10.5664	2.426457	10.7645	2.252677	10.0792	2.930721	10.6683	2.335065
active_travel	234.9952	37.191279	277.8697	48.267419	254.1052	36.685705	211.2738	35.628644	243.4488	36.706691

[1] “lb”

montevideo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	80.3099	12.1107110	81.6172	11.5535702	88.4831	12.1721642	72.6346	11.7584454	81.5191	11.7304044
car	59.3021	8.4966370	59.6305	8.2759679	55.3572	9.4781409	63.3097	7.3744688	62.3085	8.0365529
cycle	268.2431	2.0022338	124.1182	3.9900661	292.5522	1.9914763	269.0759	1.8169352	278.6884	1.9174459
motorcycle	944.4646	32.8802243	950.3536	31.7897230	1003.5230	32.2918289	1012.6811	27.6629385	752.0263	43.1593521
truck	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218	3.7861	0.3200218
bus	0.1921	0.0458093	0.1935	0.0444430	0.1972	0.0412600	0.1846	0.0536791	0.1954	0.0427690
active_travel	89.1734	14.1129448	89.4828	15.5436362	98.1051	14.1636405	80.5005	13.5753805	90.5163	13.6478502

[1] NA

osorno mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	19.4697	4.8107143	19.5893	4.5788490	20.3284	4.7434557	18.4005	4.7930000	18.8034	4.4600029
car	24.0420	7.5596939	24.2791	7.3451153	21.3739	7.9231178	25.1220	6.8519279	24.6164	7.0763502
cycle	12.0119	0.2290816	5.1721	0.3857289	13.0639	0.2208691	12.5986	0.2119903	11.6745	0.2122075
motorcycle	45.5044	1.1454082	47.6375	1.0889269	45.9227	1.0948511	46.0934	1.1058629	47.0053	4.2100462
truck	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714	10.1978	1.6035714
active_travel	18.9354	5.0397959	16.1020	4.9645779	19.8376	4.9643248	18.0484	5.0049903	18.2959	4.6722103

[1] “ub”

osorno ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	36.6353	9.052086	36.8968	8.624335	37.9889	8.864370	35.0711	9.135404	35.4548	8.409572
car	41.2344	12.965590	41.6417	12.597801	36.4791	13.522507	43.4727	11.857022	42.2127	12.134657
cycle	93.7313	1.787573	40.3725	3.010940	101.7234	1.719818	98.7056	1.660870	91.1637	1.657082
motorcycle	175.4236	4.415649	183.6109	4.197090	176.8728	4.216860	177.7723	4.265074	184.1102	16.489875
truck	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948	21.7172	3.414948
active_travel	40.7264	10.839660	37.7375	11.635275	42.2949	10.584187	38.9323	10.796274	39.4201	10.066655

[1] “lb”

osorno lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	10.6192	2.6238754	10.6773	2.4957326	11.1591	2.6038672	9.9146	2.5825814	10.2422	2.4293688
car	14.5454	4.5736086	14.6868	4.4431773	12.9765	4.8102942	15.1002	4.1185146	14.8902	4.2804165
cycle	1.5444	0.0294531	0.6648	0.0495790	1.6831	0.0284566	1.6134	0.0271482	1.5001	0.0272673
motorcycle	11.8395	0.2980171	12.3969	0.2833752	11.9595	0.2851278	11.9870	0.2875899	12.0383	1.0782106
truck	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958	4.7886	0.7529958
active_travel	9.9690	2.6533285	8.2554	2.5453116	10.5189	2.6323238	9.4109	2.6097297	9.6200	2.4566360

[1] NA

puerto_montt mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	42.4175	13.5158163	43.1603	12.8945638	44.6678	13.2371879	39.5283	13.5213281	41.7098	12.7580730
car	11.3746	6.8724490	11.4752	6.7053815	10.3942	7.1519677	11.8081	6.3121665	11.5421	6.5388367
motorcycle	169.5124	0.9163265	168.9754	0.8486576	169.4433	0.8268129	167.0334	0.8384348	4.0835	0.3858772
cycle	79.6979	0.4581633	0.0789	0.0067173	80.6951	0.3887888	77.1478	0.4350555	76.5927	0.4403124
truck	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714	5.5406	1.6035714
bus	0.8942	0.4581633	0.9000	0.4499202	0.9324	0.4242277	0.8356	0.5039983	0.9116	0.4318047
active_travel	43.0782	13.9739796	33.6109	12.9012811	45.2442	13.6259767	40.1384	13.9563835	42.3533	13.1983855

[1] “ub”

puerto_montt ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	71.2235	22.694478	72.5470	21.674133	74.4393	22.059861	67.1054	22.954554	70.2267	21.480761
car	19.9491	12.053133	20.1380	11.767368	18.1844	12.512164	20.7467	11.090431	20.2427	11.467907
motorcycle	755.6557	4.084818	753.7444	3.785586	755.1976	3.685050	746.9322	3.749273	28.6770	2.709908
cycle	346.0946	1.989611	0.3430	0.029184	349.7762	1.685222	335.8857	1.894143	332.7594	1.912951
truck	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948	11.7993	3.414948
bus	6.7784	3.473138	6.8225	3.410708	7.0714	3.217284	6.3264	3.815923	6.9097	3.273049
active_travel	76.0947	24.684090	56.5422	21.703317	78.8441	23.745082	71.4646	24.848698	75.0698	23.393712

[1] “lb”

puerto_montt lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	27.1918	8.6643429	27.6357	8.2564336	28.8025	8.5355262	25.1177	8.5919497	26.6976	8.1661778
car	6.6836	4.0382032	6.7391	3.9378765	6.1196	4.2107053	6.9281	3.7035356	6.7811	3.8416602
motorcycle	42.3371	0.2288599	42.1860	0.2118740	42.3337	0.2065708	41.6333	0.2089808	0.6111	0.0577439
cycle	18.4106	0.1058380	0.0182	0.0015510	18.6746	0.0899744	17.7757	0.1002414	17.6858	0.1016710
truck	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958	2.6017	0.7529958
bus	0.1181	0.0604959	0.1188	0.0594065	0.1231	0.0559909	0.1105	0.0666275	0.1204	0.0570199
active_travel	27.0362	8.7701809	21.5140	8.2579847	28.6404	8.6255005	24.9987	8.6921911	26.5313	8.2678488

[1] NA

san_antonio mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	16.8856	2.6004012	17.0155	2.5017124	15.8640	2.3312609	17.3250	2.8847700	15.6970	2.3519855
car	9.0503	3.2535405	9.1714	3.1555999	7.1534	3.0594163	9.7100	2.9171650	8.9098	2.7849657
cycle	63.9430	0.2667670	0.1162	0.0068777	60.1517	0.2267990	68.6125	0.2574478	58.1830	0.2416746
other	40.5511	0.2707129	39.9765	0.2654180	25.8526	0.0782262	36.9414	0.2135804	40.0823	0.2244250
motorcycle	23.9411	0.2290816	23.6572	0.2116589	23.6762	0.1708588	25.6529	0.2122068	2.5641	0.1768073
truck	5.5037	1.3744898	5.5037	1.3744898	5.5037	1.3744898	5.5037	1.3744898	5.5037	1.3744898
active_travel	18.1268	2.8671682	12.1638	2.5085902	16.9719	2.5580599	18.4552	3.1422178	16.8431	2.5936601

[1] “ub”

san_antonio ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	113.7404	17.516119	114.4599	16.8285474	105.5048	15.504216	115.0931	19.164070	103.5753	15.519331
car	54.1578	19.469493	54.6921	18.8178701	41.8509	17.898980	57.8353	17.375429	50.6946	15.845872
cycle	927.8707	3.871030	1.6753	0.0991886	845.3925	3.187510	979.9505	3.676970	825.9037	3.430556
other	504.9316	3.370848	496.8875	3.2990099	389.3574	1.178137	444.1592	2.567951	450.4224	2.521960
motorcycle	285.6264	2.733032	283.1239	2.5330885	277.3307	2.001350	304.7866	2.521268	32.9769	2.273906
truck	27.6373	6.902097	27.6373	6.9020968	27.6373	6.902097	27.6373	6.902097	27.6373	6.902097
active_travel	135.2139	21.387150	82.0805	16.9277361	124.0137	18.691726	134.1527	22.841040	123.0593	18.949887

[1] “lb”

san_antonio lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2.9176	0.4493065	2.9420	0.4325527	2.7767	0.4080379	3.0240	0.5035220	2.7470	0.4116040
car	1.6961	0.6097318	1.7228	0.5927493	1.3626	0.5827613	1.8242	0.5480566	1.7130	0.5354282
cycle	4.7333	0.0197469	0.0085	0.0005045	4.5811	0.0172729	5.1618	0.0193680	4.3669	0.0181389
other	3.6785	0.0245571	3.6309	0.0241066	1.8964	0.0057381	3.4895	0.0201749	3.8862	0.0217590
motorcycle	2.0703	0.0198097	2.0391	0.0182433	2.0861	0.0150544	2.2258	0.0184122	0.2080	0.0143437
truck	1.1542	0.2882419	1.1542	0.2882419	1.1542	0.2882419	1.1542	0.2882419	1.1542	0.2882419
active_travel	2.9655	0.4690535	2.0998	0.4330572	2.8218	0.4253109	3.0711	0.5228899	2.7907	0.4297429

[1] NA

santiago mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	55.8247	121.276050	145.9085	300.94288	146.8861	297.25801	125.3429	291.13874	56.6895	117.406177
car	26.0109	71.218394	147.4691	389.66243	127.1330	419.74282	139.6571	321.83471	26.4868	68.378471
cycle	116.1543	28.214316	160.1075	102.28013	299.9944	64.11872	276.8862	59.13830	119.2753	27.148283
motorcycle	166.1260	43.004078	79395.7490	20233.16910	80859.3682	19801.39344	79487.7309	17471.37909	114.3400	79.337158
other	163.7739	2.502883	2296.7449	33.54924	2216.2676	31.20073	2003.1061	27.98049	163.4769	2.334254
truck	4.2952	7.508648	54.8131	95.82051	52.9071	92.48849	47.8585	83.66292	4.2882	7.496352
bus	1.1412	5.233301	5.9734	26.87000	5.9492	25.17888	4.9177	26.35376	1.1608	5.023457
active_travel	61.8918	149.490366	149.2663	403.22302	161.5117	361.37673	138.1044	350.27704	62.8866	144.554460

[1] “ub”

santiago ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	67.3568	146.32886	218.8560	451.4006	217.8882	440.94717	185.2988	430.40049	69.1279	143.166820
car	31.6045	86.53380	248.9494	657.8075	213.6646	705.43607	234.1879	539.67760	32.2414	83.234533
cycle	157.1283	38.16708	253.7126	162.0771	470.6691	100.59755	433.2767	92.54070	162.5357	36.994806
motorcycle	218.0886	56.45535	104413.8350	26608.7644	105716.3833	25888.54878	103972.9874	22853.23101	150.0609	104.122851
other	332.9032	5.08761	5342.5754	78.0406	5151.3635	72.52115	4651.8524	64.97963	332.7332	4.751030
truck	7.6360	13.34874	118.1595	206.5581	113.9370	199.17662	102.9195	179.91668	7.6335	13.344285
bus	2.2183	10.17254	16.1043	72.4421	16.0142	67.77757	13.1104	70.25763	2.2612	9.785481
active_travel	76.3848	184.49594	227.0989	613.4777	242.0350	541.54472	206.1810	522.94119	78.3771	180.161626

[1] “lb”

santiago lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	47.3366	102.836168	101.1122	208.54851	102.7853	208.009794	88.0590	204.53799	47.6759	98.738848
car	21.6472	59.270370	89.5573	236.64027	77.6443	256.350752	85.5303	197.10142	22.0118	56.825764
cycle	87.4987	21.253775	103.4661	66.09640	195.9769	41.886731	181.4272	38.74985	89.2993	20.325445
motorcycle	128.0446	33.146158	61679.0934	15718.26630	62872.8162	15396.723953	61803.6004	13584.41257	88.0196	61.074222
other	81.3210	1.242792	989.5933	14.45529	955.6094	13.453117	864.6181	12.07746	81.0593	1.157430
truck	2.4476	4.278771	25.5414	44.64969	24.6781	43.140492	22.3638	39.09477	2.4406	4.266405
bus	0.6064	2.780648	2.2884	10.29392	2.2833	9.663804	1.9131	10.25224	0.6157	2.664695
active_travel	51.3756	124.089943	101.6688	274.64491	111.6874	249.896525	95.9215	243.28784	51.7975	119.064293

[1] NA

sao_paulo mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	165.7016	391.444962	165.9834	373.695051	178.9321	391.274217	152.7054	383.559107	189.2274	425.183927
other	66.1872	1.441407	65.1667	1.305961	67.0499	1.377230	64.2946	1.140405	71.2219	1.301749
car	60.8164	164.732230	61.1825	159.550272	56.6946	186.021541	64.3922	142.583797	63.9938	160.606844
motorcycle	1269.3434	424.391408	1269.3634	413.596100	1332.4563	405.085428	1364.9704	365.048902	897.1859	773.684185
cycle	591.3154	37.682498	8.1563	4.496309	606.4058	33.711642	571.1504	32.659587	639.0276	38.904501
truck	8.4281	14.619985	8.3698	14.518890	8.4774	14.705440	8.3201	14.432507	8.7156	15.118713
bus	2.7344	9.678019	2.7479	9.385062	2.8859	9.027556	2.4788	10.919599	2.9373	9.598395
active_travel	176.8813	429.127460	134.9399	378.191360	189.5303	424.985859	162.0196	416.218694	201.0932	464.088427

[1] “ub”

sao_paulo ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	178.8112	422.414429	179.0930	403.210122	192.7780	421.551266	164.8737	414.12287	205.0897	460.825726
other	141.7700	3.087429	139.3878	2.793376	143.5681	2.948943	137.6713	2.44190	152.5346	2.787933
car	67.3730	182.491880	67.6998	176.546008	62.7162	205.779134	71.3807	158.05836	71.0740	178.376306
motorcycle	1376.8502	460.335139	1373.5385	447.539419	1444.6555	439.195572	1480.4022	395.92009	971.3856	837.669950
cycle	730.3953	46.545582	10.7865	5.946203	748.2304	41.596030	706.1852	40.38116	788.9281	48.030562
truck	11.7795	20.433471	11.6776	20.256734	11.8525	20.560118	11.6100	20.13939	12.2223	21.201593
bus	4.1485	14.682813	4.1638	14.220975	4.3807	13.703219	3.7537	16.53561	4.4629	14.583903
active_travel	193.2998	468.960011	145.9883	409.156326	206.5491	463.147296	176.9228	454.50403	220.4914	508.856289

[1] “lb”

sao_paulo lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	153.8930	363.5491439	154.1556	347.0659521	166.4264	363.9277367	141.7568	356.0588565	174.9474	393.0975056
other	30.9281	0.6735439	30.4797	0.6108226	31.3392	0.6437184	30.0503	0.5330082	33.2800	0.6082712
car	55.0355	149.0736033	55.3948	144.4574510	51.3692	168.5484421	58.2275	128.9331919	57.7638	144.9714434
motorcycle	1173.2938	392.2782510	1174.5721	382.7102884	1231.8876	374.5111514	1261.4654	337.3674294	830.4257	716.1138260
cycle	479.6796	30.5683318	6.1679	3.4001467	492.4423	27.3761193	462.8741	26.4681189	518.5589	31.5702720
truck	6.0636	10.5182937	6.0286	10.4576871	6.0964	10.5752145	5.9941	10.3977878	6.2498	10.8413817
bus	1.8053	6.3893871	1.8154	6.2002781	1.9041	5.9562715	1.6393	7.2214042	1.9360	6.3265898
active_travel	162.4506	394.1174756	125.0474	350.4660988	174.5092	391.3038560	148.9046	382.5269754	184.0119	424.6677775

[1] NA

temuco_padrelascasas mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	19.3329	8.2469388	19.3048	7.7858205	20.5276	8.3126956	18.2222	8.1846317	18.7843	7.7407426
car	15.7637	8.0178571	15.8990	7.8052032	14.3210	8.6176136	16.6949	6.8532123	16.0776	7.5315693
cycle	41.0747	2.0617347	16.2709	2.2846829	45.1259	2.0023736	42.4114	1.8481766	40.7066	1.9346460
motorcycle	45.9009	1.8326531	46.9828	1.7737945	47.4925	1.7411468	2484.8962	89.0809907	40.6663	5.9312204
truck	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633	1.8414	0.4581633
active_travel	21.6219	10.3086735	18.5213	10.0705034	22.9568	10.3150692	20.3615	10.0328083	21.0512	9.6753886

[1] “ub”

temuco_padrelascasas ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	60.8681	25.964829	60.9248	24.571586	63.9916	25.913584	58.0714	26.083215	59.3646	24.463254
car	51.0094	25.944888	51.4535	25.259807	46.4007	27.921577	54.3036	22.291506	52.0386	24.377562
cycle	133.2849	6.690208	54.0099	7.583818	145.8730	6.472830	138.6129	6.040384	131.8983	6.268684
motorcycle	190.0187	7.586752	194.4396	7.340891	196.7927	7.214720	11349.2118	406.857646	174.2512	25.414693
truck	10.8265	2.693811	10.8265	2.693811	10.8265	2.693811	10.8265	2.693811	10.8265	2.693811
active_travel	68.4922	32.655037	59.1390	32.155403	72.0778	32.386414	65.1944	32.123599	66.8650	30.731938

[1] “lb”

temuco_padrelascasas lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	6.8316	2.9141872	6.8032	2.7437956	7.3030	2.9573569	6.3898	2.8700214	6.6264	2.7306340
car	5.1487	2.6187708	5.1907	2.5482616	4.6728	2.8118295	5.4279	2.2281588	5.2491	2.4589499
cycle	13.4079	0.6730064	5.2103	0.7316099	14.7725	0.6554998	13.7672	0.5999394	13.3014	0.6321727
motorcycle	11.5417	0.4608189	11.8179	0.4461753	11.9306	0.4373921	561.7785	20.1391850	9.9735	1.4546477
truck	0.3209	0.0798328	0.3209	0.0798328	0.3209	0.0798328	0.3209	0.0798328	0.3209	0.0798328
active_travel	7.5239	3.5871935	6.3918	3.4754055	8.0406	3.6128567	7.0422	3.4699608	7.3166	3.3628067

[1] NA

valdivia mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	10.0523	2.1883910	10.3012	2.1079437	10.1635	2.0602885	9.9485	2.3541879	10.0515	2.1027072
car	8.8455	3.1996214	9.0223	3.1124688	7.8266	3.3079510	9.1896	2.8560471	9.0097	3.0096300
cycle	28.8656	0.9484467	13.1287	1.2843416	29.9531	0.8922317	29.7995	0.9069095	29.3172	0.8997218
motorcycle	24.4700	0.6729878	25.1947	0.6205257	24.3306	0.6470705	24.7502	0.6594737	22.2435	2.0496104
bus	1.6316	0.4338690	1.6264	0.4139459	1.6898	0.3776474	1.5206	0.5149620	1.6551	0.3974121
active_travel	12.5194	3.1368377	11.2158	3.3922853	12.6989	2.9525201	12.2106	3.2610973	12.5163	3.0024290

[1] “ub”

valdivia ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	51.8177	11.280752	52.9496	10.835067	52.4379	10.629871	51.0785	12.087043	51.6154	10.797555
car	52.9846	19.165719	53.9785	18.621179	46.6140	19.701629	55.0606	17.112394	53.9347	18.016617
cycle	220.8622	7.256935	111.6650	10.923856	228.1881	6.797187	226.8818	6.904852	223.1017	6.846812
motorcycle	224.7779	6.181965	230.0444	5.665804	224.0354	5.958201	224.2875	5.976181	218.1384	20.100231
bus	12.7346	3.386277	12.7481	3.244645	13.0781	2.922715	12.4096	4.202461	12.9338	3.105632
active_travel	73.9856	18.537687	71.9406	21.758923	74.9547	17.427058	71.1119	18.991895	73.5545	17.644367

[1] “lb”

valdivia lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2.0980	0.4567312	2.1561	0.4412081	2.1222	0.4301915	2.0808	0.4924043	2.1051	0.4403761
car	1.6665	0.6028108	1.7018	0.5870817	1.4870	0.6285073	1.7281	0.5370735	1.6988	0.5674748
cycle	4.3310	0.1423055	1.8308	0.1791051	4.5084	0.1342936	4.4817	0.1363953	4.4225	0.1357226
motorcycle	3.2637	0.0897604	3.3926	0.0835567	3.2355	0.0860469	3.3448	0.0891222	2.8040	0.2583746
bus	0.2575	0.0684645	0.2557	0.0650890	0.2685	0.0599941	0.2316	0.0784354	0.2610	0.0626767
active_travel	2.3908	0.5990366	2.0509	0.6203132	2.4279	0.5644851	2.3544	0.6287996	2.4016	0.5760988

[1] NA

accra mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	126.0911	112.437521	127.4960	106.6857177	139.0360	114.922180	114.4885	101.164844	117.7836	99.4665639
cycle	449.4991	8.195155	0.1390	0.0168007	475.4743	7.818343	406.0540	5.958030	407.4499	6.8708278
car	103.3258	22.290821	105.1208	21.5902886	82.2384	24.805406	107.2853	17.171283	89.8963	17.8383298
motorcycle	555.4034	23.110336	549.6008	22.8488297	566.7506	20.686397	538.2392	16.089853	6.9738	0.9602863
truck	60.4272	4.917093	60.2967	4.9064753	60.2743	4.904651	59.1270	4.811293	56.9413	4.6334372
bus	14.8685	10.325895	14.9302	10.1052429	15.2248	9.692375	13.5200	10.975316	13.4950	8.5916894
active_travel	132.5709	120.632676	111.4240	106.7025184	145.5984	122.740523	119.2510	107.122874	123.4545	106.3373917

[1] “ub”

accra ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	145.1661	129.447047	146.5180	122.6029298	159.3120	131.681627	132.1678	116.786710	134.8225	113.855702
cycle	610.8033	11.136013	0.1889	0.0228319	644.8039	10.602672	552.2570	8.103267	551.6580	9.302610
car	135.6632	29.267072	137.0542	28.1489553	107.6170	32.460287	140.6451	22.510600	116.7761	23.172150
motorcycle	729.8238	30.367967	712.7591	29.6318919	742.9307	27.116971	706.5032	21.119854	9.9758	1.373656
truck	99.9643	8.134311	99.3773	8.0865500	99.5128	8.097574	96.3380	7.839232	90.3258	7.350011
bus	21.6014	15.001774	21.5833	14.6082992	22.1117	14.076690	19.5174	15.843954	19.3844	12.341154
active_travel	154.4956	140.583060	128.0518	122.6257617	168.7817	142.284299	139.0296	124.889977	142.9831	123.158311

[1] “lb”

accra lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	111.0562	99.030675	112.2969	93.9674605	122.8829	101.570612	100.6121	88.903372	104.3216	88.0980864
cycle	331.5741	6.045176	0.1025	0.0123915	351.3562	5.777438	299.2882	4.391455	301.5786	5.0855205
car	79.3668	17.122066	80.8344	16.6022113	63.3345	19.103470	82.4734	13.200076	69.8079	13.8521451
motorcycle	429.2570	17.861386	425.7136	17.6984034	438.4899	16.004881	415.6992	12.426705	4.8847	0.6726197
truck	38.2930	3.115984	38.2545	3.1128513	38.2394	3.111620	37.8227	3.077717	37.0306	3.0132642
bus	10.3153	7.163785	10.3678	7.0172584	10.5619	6.723919	9.4308	7.655808	9.4656	6.0263368
active_travel	115.4745	105.075850	98.1384	93.9798520	127.3394	107.348050	103.8573	93.294827	108.1833	93.1836068

[1] NA

bangalore mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	302.0781	393.57928	305.8525	378.13896	353.5715	445.64081	289.6282	399.58994	298.3556	364.94414
car	150.0298	33.24149	150.3902	32.64617	106.1491	48.81772	157.7444	30.88356	160.0510	29.49498
motorcycle	171.1464	398.89792	172.6716	390.92715	185.8265	405.62411	180.3584	372.19442	160.5319	412.96871
cycle	134.2029	25.26353	74.3223	36.33090	162.8286	28.02239	140.5301	24.07459	139.0009	22.81822
other	1904.6280	15.95592	1896.1052	15.22704	2001.0902	15.71712	1896.7461	13.98603	1872.3975	13.76548
truck	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660	131.6916	13.29660
bus	13.2405	15.95592	13.3417	15.57191	13.7398	15.44991	12.4004	18.73171	13.8242	14.03762
active_travel	280.8849	418.84281	240.2483	414.46986	330.6560	473.66321	273.1596	423.66453	279.4998	387.76236

[1] “ub”

bangalore ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	374.4835	487.91670	382.8261	473.30486	435.7649	549.23716	359.2775	495.68266	369.9032	452.46009
car	268.2166	59.42767	269.4297	58.48685	190.4367	87.58135	281.7324	55.15823	285.7605	52.66133
motorcycle	210.2746	490.09584	212.9330	482.07856	228.3760	498.50150	221.5903	457.28219	197.0356	506.87468
cycle	219.4690	41.31477	121.5311	59.40792	265.7328	45.73195	229.9600	39.39508	227.3697	37.32472
other	4368.6824	36.59840	4360.7778	35.02008	4553.1868	35.76200	4353.1459	32.09877	4305.4416	31.65273
truck	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721	247.8735	25.02721
bus	29.9924	36.14330	30.2596	35.31785	31.4196	35.33023	27.8447	42.06164	31.4285	31.91372
active_travel	354.9139	529.23148	308.7880	532.71278	415.3375	594.96911	344.9938	535.07774	353.0378	489.78482

[1] “lb”

bangalore lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	247.2711	322.170906	249.9531	309.028082	290.4351	366.063742	236.8912	326.830570	244.1058	298.586570
car	84.4763	18.717063	84.6489	18.375275	59.5375	27.381169	88.9007	17.405188	90.2224	16.626619
motorcycle	140.7090	327.956349	141.9070	321.276259	152.6181	333.136305	148.2720	305.979776	132.0737	339.759858
cycle	82.3654	15.505191	45.6160	22.298420	100.0874	17.224787	86.2105	14.768950	85.2905	14.001183
other	903.9851	7.573085	899.0678	7.220139	954.2597	7.495022	899.8929	6.635536	887.3246	6.523429
truck	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291	69.9659	7.064291
bus	6.1306	7.387837	6.1743	7.206413	6.3141	7.099988	5.7803	8.731558	6.3824	6.480927
active_travel	226.4528	337.676097	192.0541	331.326502	267.5670	383.288529	220.2478	341.599520	225.3138	312.587753

[1] NA

cape_town mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	773.5065	331.988873	776.7700	320.2001561	856.0253	334.767478	729.6118	313.506140	758.7084	310.741551
car	340.3576	188.431605	340.9579	183.6503329	325.0313	202.685546	360.3090	167.490722	335.3816	175.438054
cycle	2248.8923	7.715949	0.5893	0.0410416	2364.8970	6.603384	2122.5785	7.050144	2149.7982	6.960079
motorcycle	7786.2810	47.717055	7648.1195	46.1724620	7924.5638	40.234199	7548.0446	44.879541	18.6672	1.502118
other	842.8863	2.030513	827.6032	1.9030736	850.9157	1.615038	816.3732	1.966643	784.2386	1.889231
truck	28.5437	6.294590	27.9431	6.1621453	28.8592	6.364175	27.5018	6.064825	26.2390	5.786342
bus	54.4479	20.305130	53.9199	19.7718741	58.0891	19.466036	46.8219	21.899063	52.7800	18.162567
active_travel	785.2071	339.704822	664.5860	320.2411977	866.7222	341.370862	740.2969	320.556284	769.6185	317.701630

[1] “ub”

cape_town ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	831.6921	356.96212	834.9499	344.1831022	918.3965	359.159129	786.5865	337.987544	815.0308	333.809323
car	381.2450	211.06805	380.5852	204.9948154	362.5665	226.092090	404.3117	187.945526	373.1700	195.205112
cycle	3131.4883	10.74414	0.8206	0.0571483	3290.6216	9.188238	2957.7292	9.824097	2992.2327	9.687503
motorcycle	9486.2175	58.13486	9270.9876	55.9698791	9615.5149	48.819412	9213.6244	54.782829	33.5645	2.700878
other	1612.9307	3.88555	1579.2913	3.6315804	1625.0300	3.084307	1562.7217	3.764597	1495.8551	3.603515
truck	47.5742	10.49128	46.4992	10.2542173	47.8844	10.559702	46.0628	10.158000	43.9322	9.688148
bus	73.6432	27.46359	72.6353	26.6346280	78.0908	26.168721	63.7143	29.799805	71.0537	24.450871
active_travel	849.9307	367.70626	714.3904	344.2402506	935.2141	368.347367	803.2408	347.811641	832.1062	343.496826

[1] “lb”

cape_town lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	721.0791	309.487046	724.2077	298.5329432	799.5161	312.6683212	678.4348	291.515945	707.7874	289.8860244
car	305.7823	169.289772	306.8731	165.2911854	292.9824	182.7002522	323.1534	150.218834	302.9401	158.4678793
cycle	1615.8314	5.543918	0.4234	0.0294886	1700.3121	4.7476964	1524.0148	5.062015	1545.2010	5.0026654
motorcycle	6488.8026	39.765654	6391.2693	38.5847321	6625.2421	33.6373477	6280.0218	37.340068	11.2354	0.9040928
other	441.1026	1.062616	433.9346	0.9978327	446.0931	0.8466846	427.0852	1.028848	411.6659	0.9917030
truck	18.9047	4.168957	18.5501	4.0907634	19.1801	4.2296789	18.1847	4.010183	17.4397	3.8458848
bus	40.7924	15.212616	40.4920	14.8480036	43.7550	14.6625962	34.8910	16.318872	39.7302	13.6718935
active_travel	728.1750	315.030963	619.5968	298.5624318	805.9022	317.4160176	684.9210	296.577960	714.3551	294.8886898

[1] NA

delhi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3094.2514	869.503820	3134.6002	840.568737	3268.9305	876.160993	2893.6611	848.466129	3114.2931	827.416286
cycle	2118.5811	101.678865	1323.1310	129.398681	2342.8624	100.385445	2184.8205	93.454277	2201.9773	96.197451
motorcycle	3849.4794	758.479472	3946.8441	736.102402	4121.0791	744.305216	4040.7388	681.153810	3340.7108	874.747200
car	771.7651	123.734206	783.9330	121.750667	681.8026	137.921421	801.9706	113.765349	813.7277	113.591714
truck	604.7529	49.717974	601.5084	49.451238	613.0077	50.396624	598.0120	49.163793	601.2557	49.430461
bus	41.1931	7.476387	41.7782	7.279129	43.0577	7.204244	35.9212	8.787028	42.7293	6.746453
active_travel	2951.9226	971.182685	2650.5062	969.967417	3141.2919	976.546438	2803.4196	941.920406	2985.4630	923.613737

[1] “ub”

delhi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	3341.8886	939.09143	3385.0610	907.73187	3525.8090	945.01131	3127.4089	917.00461	3368.3381	894.91187
cycle	2449.4375	117.55794	1529.6657	149.59723	2707.0733	115.99092	2526.7673	108.08083	2547.8860	111.30911
motorcycle	4169.4446	821.52359	4274.7093	797.25060	4460.5078	805.60920	4378.5743	738.10328	3620.9121	948.11639
car	915.8443	146.83388	930.1955	144.46633	808.2379	163.49794	952.3487	135.09757	966.7359	134.95077
truck	790.8453	65.01701	786.4231	64.65346	801.9809	65.93249	781.7227	64.26703	786.1947	64.63468
bus	82.1096	14.90258	83.2756	14.50933	85.8257	14.36002	71.5955	17.51365	85.1806	13.44900
active_travel	3211.6997	1056.64936	2889.2284	1057.32910	3412.9638	1061.00222	3050.9421	1025.08544	3252.4803	1006.22098

[1] “lb”

delhi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	2871.2916	806.850752	2909.0639	780.089333	3037.1116	814.02730	2683.4488	786.828636	2885.7289	766.690547
cycle	1832.5639	87.951795	1144.5746	111.936344	2027.8111	86.88633	1889.3002	80.813588	1903.1961	83.144643
motorcycle	3554.9936	700.455684	3645.0716	679.820607	3808.4554	687.84246	3729.9351	628.761134	3083.0162	807.271260
car	651.0307	104.377318	661.3556	102.713489	575.7309	116.46424	676.0522	95.902908	685.6705	95.715660
truck	462.9325	38.058632	460.5520	37.862927	469.0515	38.56168	457.9515	37.649136	460.3041	37.842543
bus	20.6660	3.750794	20.9596	3.651848	21.6016	3.61429	18.0226	4.408679	21.4345	3.384249
active_travel	2719.7642	894.802547	2437.5248	892.025677	2898.0011	900.91363	2582.3469	867.642225	2746.9833	849.835190

[1] NA

vizag mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	260.5948	116.631639	260.2536	110.280192	373.3588	159.618662	228.3610	105.637544	288.3028	121.605970
cycle	364.6108	15.924705	170.5742	22.263098	527.7569	21.566997	359.3203	12.959119	420.6437	16.276239
motorcycle	602.4036	117.753097	614.5805	114.330125	673.2294	119.883676	629.7947	95.690099	508.1979	152.265080
other	136.9948	2.018625	142.0589	1.984356	152.2586	1.999011	123.7252	1.357952	119.6115	1.345546
car	391.2613	8.074498	391.9151	7.730369	207.4464	21.850285	420.3298	6.480477	402.4433	7.108094
truck	596.9618	7.177332	595.0224	7.154014	628.2502	7.553515	589.1379	7.083264	600.4317	7.219050
bus	6.6981	3.364374	6.7617	3.246203	6.9221	3.109172	6.4228	3.870737	6.9201	3.010756
active_travel	269.8429	132.556343	239.1357	132.543289	386.8296	181.185659	237.8328	118.596663	299.4229	137.882209

[1] “ub”

vizag ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	312.0340	139.653749	311.6644	132.065075	445.1016	190.290215	274.4156	126.941944	344.0280	145.110839
cycle	488.8360	21.350351	228.6974	29.849252	707.2131	28.900547	482.3744	17.397146	563.2014	21.792319
motorcycle	698.9648	136.628117	712.8838	132.617456	785.4595	139.868781	730.2517	110.953379	589.3410	176.577003
other	285.3167	4.204155	295.8307	4.132326	317.5168	4.168694	257.5823	2.827108	249.1635	2.802915
car	655.2856	13.523194	656.5411	12.950011	344.3039	36.265463	705.0682	10.870460	675.4968	11.930861
truck	1011.6805	12.163536	1005.8754	12.093741	1105.2029	13.287965	988.3269	11.882754	1022.0236	12.287892
bus	15.1380	7.603671	15.3002	7.345408	16.1247	7.242712	14.2804	8.606184	15.8169	6.881518
active_travel	327.7536	161.004100	292.1271	161.914326	467.9701	219.190763	289.4564	144.339090	362.4444	166.903158

[1] “lb”

vizag lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	220.0288	98.4759340	219.7261	93.106998	315.5994	134.925330	192.3468	88.9776935	244.0365	102.9344588
cycle	271.9772	11.8788482	127.2337	16.606354	393.8603	16.095259	267.6815	9.6541058	314.1966	12.1574125
motorcycle	519.7177	101.5903005	530.3721	98.664874	577.7888	102.888329	543.7281	82.6132516	438.6362	131.4231682
other	65.7844	0.9693366	68.2237	0.952986	73.0199	0.958682	59.4349	0.6523307	57.4255	0.6459966
car	234.1395	4.8319607	234.4732	4.624890	125.2375	13.191245	251.1459	3.8720663	240.3171	4.2445647
truck	371.0400	4.4610509	370.3920	4.453261	381.5077	4.586905	368.4189	4.4295369	372.2040	4.4750460
bus	3.5436	1.7799201	3.5761	1.716842	3.6319	1.631331	3.4128	2.0567522	3.6499	1.5879825
active_travel	224.6475	110.3547822	197.9457	109.713352	322.4275	151.020589	197.7954	98.6317993	249.9318	115.0918714

[1] NA

kisumu mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	55.7689	14.9479620	56.5369	14.2978369	62.7808	15.8986564	54.6064	14.4233080	56.0791	13.7960276
cycle	54.9226	1.5734697	32.8283	2.1508656	62.7056	1.6657560	55.9528	1.4804463	55.4842	1.4581241
car	52.3368	1.9668371	53.2031	1.8966662	41.2577	2.6554738	60.7907	1.6526078	56.2232	1.7513025
motorcycle	304.9732	29.8959240	311.9674	28.5296553	346.4048	29.8456318	334.6854	25.9993515	259.1040	32.9205581
other	872.1425	2.7535720	861.9117	2.7212707	925.0079	1.7050208	852.0974	1.6017301	847.3881	2.0722876
truck	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674	27.8103	0.3933674
bus	74.1398	7.4739810	75.1949	7.2057107	85.6285	7.4038537	62.3305	8.2793210	81.9213	6.4449217
active_travel	55.6872	16.5214317	51.6585	16.4487025	62.7737	17.5644124	54.7290	15.9037543	56.0217	15.2541517

[1] “ub”

kisumu ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	90.5054	24.258521	91.5041	23.140836	100.9407	25.562284	88.3816	23.344440	91.6474	22.546170
cycle	160.2754	4.591706	95.6696	6.268152	182.0378	4.835778	163.0265	4.313494	162.5555	4.271958
car	199.1201	7.483014	201.9530	7.199533	161.9018	10.420509	226.5135	6.157815	212.4501	6.617629
motorcycle	435.8893	42.729382	445.1684	40.710988	494.6774	42.620543	479.1730	37.223575	368.6765	46.842343
other	2016.8181	6.367599	1990.5108	6.284540	2130.8544	3.927697	1967.8847	3.699131	1963.9890	4.802935
truck	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586	205.4899	2.906586
bus	153.6392	15.488269	155.4955	14.900679	174.1391	15.056916	131.0671	17.409544	169.1570	13.307933
active_travel	97.2426	28.850228	92.3613	29.408987	108.6400	30.398063	95.1782	27.657934	98.4910	26.818128

[1] “lb”

kisumu lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	35.6748	9.5620642	36.2366	9.1640135	40.3388	10.2154232	34.9675	9.2360415	35.7487	8.7945388
cycle	19.0970	0.5471060	11.4265	0.7486465	21.8765	0.5811439	19.4740	0.5152607	19.2360	0.5055226
car	16.1144	0.6055874	16.4099	0.5850055	12.4770	0.8030561	18.9501	0.5151626	17.3689	0.5410258
motorcycle	220.3209	21.5976300	225.6141	20.6325762	249.7682	21.5195882	241.4719	18.7582469	187.9512	23.8802176
other	385.4633	1.2170040	381.2980	1.2038531	409.5944	0.7549848	376.9056	0.7084884	374.0072	0.9146346
truck	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370	3.7638	0.0532370
bus	41.5019	4.1837804	42.1485	4.0389640	48.1605	4.1641873	34.8356	4.6271865	45.8254	3.6051784
active_travel	34.0740	10.1091702	31.1315	9.9126600	38.5860	10.7965671	33.5568	9.7513022	34.1550	9.3000614

[1] NA

nairobi mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	186.6929	449.422279	190.1086	432.1947313	200.3798	454.729831	181.3923	427.153339	189.1079	429.002456
car	74.6452	68.839299	74.8088	67.9001284	68.6047	75.681252	80.5184	61.756133	76.2916	66.248032
cycle	106.4898	9.834186	0.0174	0.0057761	110.6527	9.585743	102.2273	8.030495	104.4055	9.024736
motorcycle	616.5265	158.330387	621.7580	154.8740675	643.9766	153.251191	655.8169	144.511977	464.5321	213.276044
other	579.0037	8.850767	575.4691	8.6833115	583.2750	8.117700	572.5701	7.293684	575.4753	8.254906
truck	13.1925	4.917093	13.1925	4.9170928	13.1925	4.917093	13.1925	4.917093	13.1925	4.917093
bus	13.3790	33.436231	13.4754	32.7688239	13.8934	32.380315	12.7797	34.621195	13.6886	32.149892
active_travel	183.7298	459.256465	165.8829	432.2005074	197.0805	464.315574	178.8367	435.183834	185.9989	438.027192

[1] “ub”

nairobi ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	220.4828	530.76402	223.8767	508.9634998	235.9810	535.52102	214.1892	504.38539	224.8324	510.04561
car	107.3397	98.99082	106.4172	96.5894588	98.6117	108.78352	115.3750	88.49055	109.5039	95.08805
cycle	203.9669	18.83606	0.0333	0.0110627	211.7479	18.34353	195.7790	15.37948	200.5139	17.33228
motorcycle	787.7091	202.29184	782.7285	194.9703164	820.4753	195.25371	834.6700	183.92300	594.3660	272.88539
other	1158.5032	17.70911	1140.6205	17.2109362	1165.4193	16.21967	1143.4879	14.56632	1149.9734	16.49579
truck	32.2681	12.02689	32.2681	12.0268859	32.2681	12.02689	32.2681	12.02689	32.2681	12.02689
bus	22.1104	55.25711	22.0561	53.6347639	22.8908	53.34989	21.1215	57.21984	22.5763	53.02391
active_travel	219.8726	549.60008	195.3496	508.9745626	235.0899	553.86455	213.5948	519.76487	223.9398	527.37789

[1] “lb”

nairobi lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
pedestrian	159.4219	383.773251	162.4159	369.2379306	171.4657	389.114028	154.8331	364.610144	160.6537	364.452319
car	52.8774	48.764564	53.1165	48.2111854	48.5719	53.582057	57.1590	43.839905	54.0882	46.967633
cycle	55.6741	5.141432	0.0091	0.0030199	57.8953	5.015419	53.4491	4.198707	54.4533	4.706908
motorcycle	501.3356	128.748165	507.0370	126.2981499	524.0886	124.720680	534.0617	117.682710	377.6561	173.389522
other	292.3166	4.468410	291.2429	4.3945929	294.6619	4.100943	289.2941	3.685172	290.6832	4.169706
truck	5.3937	2.010313	5.3937	2.0103127	5.3937	2.010313	5.3937	2.010313	5.3937	2.010313
bus	8.3197	20.792189	8.4003	20.4274249	8.6570	20.176097	7.9399	21.509832	8.5216	20.014379
active_travel	155.5889	388.914684	141.7184	369.2409505	167.2897	394.129447	151.5602	368.808851	156.7556	369.159227

[1] NA

port_louis mean
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	1193.0772	19.0127587	1213.5197	17.5712193	1294.0931	17.5523017	1223.3518	16.664254	1016.4094	24.1306376
pedestrian	285.6597	12.4566350	279.5994	11.5524884	302.8482	12.2035712	260.9650	11.775082	319.2553	12.7540113
cycle	1905.0588	2.2946433	1016.0566	10.9793302	113751.2881	112.1018945	104483.1231	102.968118	122158.1906	109.2399619
truck	283.1557	1.6390309	278.9078	1.6144423	283.9434	1.6435906	275.5304	1.594892	288.8320	1.6718877
bus	37.0198	0.9834186	36.1761	0.9302421	41.4840	0.9097108	29.6428	1.030317	43.6015	0.9768358
active_travel	329.1884	14.7512783	432.2748	22.5318186	3011.1664	124.3054657	2488.6394	114.743199	2986.8638	121.9939733

[1] “ub”

port_louis ub
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	2034.9810	32.429253	2068.2560	29.947416	2206.8569	29.932483	2089.9228	28.468510	1729.5680	41.061777
pedestrian	509.7961	22.230449	499.8153	20.651370	539.4639	21.738235	468.5709	21.142530	567.2438	22.660964
cycle	5923.7154	7.135115	2892.4046	31.254818	492547.5655	485.405626	452629.9253	446.066791	529773.1099	473.749603
truck	1063.7099	6.157225	1045.0909	6.049450	1067.0414	6.176509	1030.7862	5.966648	1087.9891	6.297764
bus	128.7255	3.419555	125.9004	3.237433	144.3073	3.164543	103.3006	3.590495	151.2042	3.387532
active_travel	655.3197	29.365564	995.8246	51.906188	12285.0154	507.143861	10133.1977	467.209321	12153.9674	496.410568

[1] “lb”

port_louis lb
stage_mode	bl	bl_count	bi_sc	bi_sc_count	car_sc	car_sc_count	bus_sc	bus_sc_count	mc_sc	mc_sc_count
motorcycle	707.9508	11.2818339	720.7903	10.4367194	767.7799	10.4137061	725.1397	9.8777079	604.6133	14.3541601
pedestrian	161.1686	7.0280056	157.5266	6.5086855	171.1710	6.8975077	146.4011	6.6058083	180.8648	7.2254127
cycle	652.8482	0.7863556	371.0561	4.0095672	26809.6151	26.4208757	24659.4995	24.3019367	28699.5779	25.6645976
truck	76.8208	0.4446727	75.8515	0.4390619	77.0064	0.4457470	75.0556	0.4344549	78.1469	0.4523487
bus	10.6774	0.2836423	10.4261	0.2681002	11.9588	0.2622464	8.5339	0.2966182	12.6078	0.2824624
active_travel	174.3847	7.8143612	201.7936	10.5182528	807.1021	33.3183834	670.3511	30.9077450	805.2691	32.8900102

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
car	4	0.2	0.63	0		0.21	5
bus	0.37	0.02	0.07	0.43		0.02	0.92
truck	0.2	0.01	0.45	3		0	3
other	0	0	0	0		0	0
NOV			1	6	1	2	11
Total	4	0.23	2	10	1	2	20

			strike mode
measure	cas_mode	city	pedestrian	cycle	motorcycle	car	bus	truck	auto_rickshaw	rail	other	unknown	unknown.1
lb	auto_rickshaw	medellin	0	0	0.01	0.01	0	0.01	0	0	0	0	0
mean			0	0	0.05	0.04	0.03	0.06	0	0	0	0	0
ub			0	0.02	0.36	0.32	0.22	0.46	0	0	0	0	0

Injrury Outcomes - WHW matrices

05 December, 2022

Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

Baseline lb WHW